LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 21169

Search options

  1. Article ; Online: Measurement of the Ratios of Branching Fractions R(D^{*}) and R(D^{0}).

    Aaij, R / Abdelmotteleb, A S W / Abellan Beteta, C / Abudinén, F / Ackernley, T / Adeva, B / Adinolfi, M / Adlarson, P / Afsharnia, H / Agapopoulou, C / Aidala, C A / Ajaltouni, Z / Akar, S / Akiba, K / Albicocco, P / Albrecht, J / Alessio, F / Alexander, M / Alfonso Albero, A /
    Aliouche, Z / Alvarez Cartelle, P / Amalric, R / Amato, S / Amey, J L / Amhis, Y / An, L / Anderlini, L / Andersson, M / Andreianov, A / Andreotti, M / Andreou, D / Ao, D / Archilli, F / Artamonov, A / Artuso, M / Aslanides, E / Atzeni, M / Audurier, B / Bachiller Perea, I B / Bachmann, S / Bachmayer, M / Back, J J / Bailly-Reyre, A / Baladron Rodriguez, P / Balagura, V / Baldini, W / Baptista de Souza Leite, J / Barbetti, M / Barlow, R J / Barsuk, S / Barter, W / Bartolini, M / Baryshnikov, F / Basels, J M / Bassi, G / Batsukh, B / Battig, A / Bay, A / Beck, A / Becker, M / Bedeschi, F / Bediaga, I B / Beiter, A / Belin, S / Bellee, V / Belous, K / Belov, I / Belyaev, I / Benane, G / Bencivenni, G / Ben-Haim, E / Berezhnoy, A / Bernet, R / Bernet Andres, S / Berninghoff, D / Bernstein, H C / Bertella, C / Bertolin, A / Betancourt, C / Betti, F / Bezshyiko, Ia / Bhasin, S / Bhom, J / Bian, L / Bieker, M S / Biesuz, N V / Billoir, P / Biolchini, A / Birch, M / Bishop, F C R / Bitadze, A / Bizzeti, A / Blago, M P / Blake, T / Blanc, F / Blank, J E / Blusk, S / Bobulska, D / Boelhauve, J A / Boente Garcia, O / Boettcher, T / Boldyrev, A / Bolognani, C S / Bolzonella, R / Bondar, N / Borgato, F / Borghi, S / Borsato, M / Borsuk, J T / Bouchiba, S A / Bowcock, T J V / Boyer, A / Bozzi, C / Bradley, M J / Braun, S / Brea Rodriguez, A / Brodzicka, J / Brossa Gonzalo, A / Brown, J / Brundu, D / Buonaura, A / Buonincontri, L / Burke, A T / Burr, C / Bursche, A / Butkevich, A / Butter, J S / Buytaert, J / Byczynski, W / Cadeddu, S / Cai, H / Calabrese, R / Calefice, L / Cali, S / Calvi, M / Calvo Gomez, M / Campana, P / Campora Perez, D H / Campoverde Quezada, A F / Capelli, S / Capriotti, L / Carbone, A / Cardinale, R / Cardini, A / Carniti, P / Carus, L / Casais Vidal, A / Caspary, R / Casse, G / Cattaneo, M / Cavallero, G / Cavallini, V / Celani, S / Cerasoli, J / Cervenkov, D / Chadwick, A J / Chahrour, I / Chapman, M G / Charles, M / Charpentier, Ph / Chavez Barajas, C A / Chefdeville, M / Chen, C / Chen, S / Chernov, A / Chernyshenko, S / Chobanova, V / Cholak, S / Chrzaszcz, M / Chubykin, A / Chulikov, V / Ciambrone, P / Cicala, M F / Cid Vidal, X / Ciezarek, G / Cifra, P / Ciullo, G / Clarke, P E L / Clemencic, M / Cliff, H V / Closier, J / Cobbledick, J L / Coco, V / Coelho, J A B / Cogan, J / Cogneras, E / Cojocariu, L / Collins, P / Colombo, T / Congedo, L / Contu, A / Cooke, N / Corredoira, I / Corti, G / Couturier, B / Craik, D C / Cruz Torres, M / Currie, R / Da Silva, C L / Dadabaev, S / Dai, L / Dai, X / Dall'Occo, E / Dalseno, J / D'Ambrosio, C / Daniel, J / Danilina, A / d'Argent, P / Davies, J E / Davis, A / De Aguiar Francisco, O / de Boer, J / De Bruyn, K / De Capua, S / De Cian, M / De Freitas Carneiro Da Graca, U / De Lucia, E / De Miranda, J M / De Paula, L / De Serio, M / De Simone, D / De Simone, P / De Vellis, F / de Vries, J A / Dean, C T / Debernardis, F / Decamp, D / Dedu, V / Del Buono, L / Delaney, B / Dembinski, H-P / Denysenko, V / Deschamps, O / Dettori, F / Dey, B / Di Nezza, P / Diachkov, I / Didenko, S / Dieste Maronas, L / Ding, S / Dobishuk, V / Dolmatov, A / Dong, C / Donohoe, A M / Dordei, F / Dos Reis, A C / Douglas, L / Downes, A G / Duda, P / Dudek, M W / Dufour, L / Duk, V / Durante, P / Duras, M M / Durham, J M / Dutta, D / Dziurda, A / Dzyuba, A / Easo, S / Egede, U / Egorychev, V / Eirea Orro, C / Eisenhardt, S / Ejopu, E / Ek-In, S / Eklund, L / Elashri, M E / Ellbracht, J / Ely, S / Ene, A / Epple, E / Escher, S / Eschle, J / Esen, S / Evans, T / Fabiano, F / Falcao, L N / Fan, Y / Fang, B / Fantini, L / Faria, M / Farry, S / Fazzini, D / Felkowski, L F / Feo, M / Fernandez Gomez, M / Fernez, A D / Ferrari, F / Ferreira Lopes, L / Ferreira Rodrigues, F / Ferreres Sole, S / Ferrillo, M / Ferro-Luzzi, M / Filippov, S / Fini, R A / Fiorini, M / Firlej, M / Fischer, K M / Fitzgerald, D S / Fitzpatrick, C / Fiutowski, T / Fleuret, F / Fontana, M / Fontanelli, F / Forty, R / Foulds-Holt, D / Franco Lima, V / Franco Sevilla, M / Frank, M / Franzoso, E / Frau, G / Frei, C / Friday, D A / Frontini, L / Fu, J / Fuehring, Q / Fulghesu, T / Gabriel, E / Galati, G / Galati, M D / Gallas Torreira, A / Galli, D / Gambetta, S / Gandelman, M / Gandini, P / Gao, Y / Garau, M / Garcia Martin, L M / Garcia Moreno, P / García Pardiñas, J / Garcia Plana, B / Garcia Rosales, F A / Garrido, L / Gaspar, C / Geertsema, R E / Gerick, D / Gerken, L L / Gersabeck, E / Gersabeck, M / Gershon, T / Giambastiani, L / Gibson, V / Giemza, H K / Gilman, A L / Giovannetti, M / Gioventù, A / Gironella Gironell, P / Giugliano, C / Giza, M A / Gizdov, K / Gkougkousis, E L / Gligorov, V V / Göbel, C / Golobardes, E / Golubkov, D / Golutvin, A / Gomes, A / Gomez Fernandez, S / Goncalves Abrantes, F / Goncerz, M / Gong, G / Gorelov, I V / Gotti, C / Grabowski, J P / Grammatico, T / Granado Cardoso, L A / Graugés, E / Graverini, E / Graziani, G / Grecu, A T / Greeven, L M / Grieser, N A / Grillo, L / Gromov, S / Gruberg Cazon, B R / Gu, C / Guarise, M / Guittiere, M / Günther, P A / Gushchin, E / Guth, A / Guz, Y / Gys, T / Hadavizadeh, T / Hadjivasiliou, C / Haefeli, G / Haen, C / Haimberger, J / Haines, S C / Halewood-Leagas, T / Halvorsen, M M / Hamilton, P M / Hammerich, J / Han, Q / Han, X / Hansen, E B / Hansmann-Menzemer, S / Hao, L / Harnew, N / Harrison, T / Hasse, C / Hatch, M / He, J / Heijhoff, K / Hemmer, F H / Henderson, C / Henderson, R D L / Hennequin, A M / Hennessy, K / Henry, L / Herd, J / Heuel, J / Hicheur, A / Hill, D / Hilton, M / Hollitt, S E / Horswill, J / Hou, R / Hou, Y / Hu, J / Hu, W / Hu, X / Huang, W / Huang, X / Hulsbergen, W / Hunter, R J / Hushchyn, M / Hutchcroft, D / Ibis, P / Idzik, M / Ilin, D / Ilten, P / Inglessi, A / Iniukhin, A / Ishteev, A / Ivshin, K / Jacobsson, R / Jage, H / Jaimes Elles, S J / Jakobsen, S / Jans, E / Jashal, B K / Jawahery, A / Jevtic, V / Jiang, E / Jiang, X / Jiang, Y / John, M / Johnson, D / Jones, C R / Jones, T P / Jost, B / Jurik, N / Juszczak, I / Kandybei, S / Kang, Y / Karacson, M / Karpenkov, D / Karpov, M / Kautz, J W / Keizer, F / Keller, D M / Kenzie, M / Ketel, T / Khanji, B / Kharisova, A / Kholodenko, S / Khreich, G / Kirn, T / Kirsebom, V S / Kitouni, O / Klaver, S / Kleijne, N / Klimaszewski, K / Kmiec, M R / Koliiev, S / Kolk, L / Kondybayeva, A / Konoplyannikov, A / Kopciewicz, P / Kopecna, R / Koppenburg, P / Korolev, M / Kostiuk, I / Kot, O / Kotriakhova, S / Kozachuk, A / Kravchenko, P / Kravchuk, L / Krawczyk, R D / Kreps, M / Kretzschmar, S / Krokovny, P / Krupa, W / Krzemien, W / Kubat, J / Kubis, S / Kucewicz, W / Kucharczyk, M / Kudryavtsev, V / Kulikova, E K / Kupsc, A / Lacarrere, D / Lafferty, G / Lai, A / Lampis, A / Lancierini, D / Landesa Gomez, C / Lane, J J / Lane, R / Langenbruch, C / Langer, J / Lantwin, O / Latham, T / Lazzari, F / Lazzaroni, M / Le Gac, R / Lee, S H / Lefèvre, R / Leflat, A / Legotin, S / Lenisa, P / Leroy, O / Lesiak, T / Leverington, B / Li, A / Li, H / Li, K / Li, P / Li, P-R / Li, S / Li, T / Li, Y / Li, Z / Liang, X / Lin, C / Lin, T / Lindner, R / Lisovskyi, V / Litvinov, R / Liu, G / Liu, H / Liu, Q / Liu, S / Lobo Salvia, A / Loi, A / Lollini, R / Lomba Castro, J / Longstaff, I / Lopes, J H / Lopez Huertas, A / López Soliño, S / Lovell, G H / Lu, Y / Lucarelli, C / Lucchesi, D / Luchuk, S / Lucio Martinez, M / Lukashenko, V / Luo, Y / Lupato, A / Luppi, E / Lusiani, A / Lynch, K / Lyu, X-R / Ma, R / Maccolini, S / Machefert, F / Maciuc, F / Mackay, I / Macko, V / Madhan Mohan, L R / Maevskiy, A / Maisuzenko, D / Majewski, M W / Malczewski, J J / Malde, S / Malecki, B / Malinin, A / Maltsev, T / Manca, G / Mancinelli, G / Mancuso, C / Manera Escalero, R / Manuzzi, D / Manzari, C A / Marangotto, D / Marchand, J F / Marconi, U / Mariani, S / Marin Benito, C / Marks, J / Marshall, A M / Marshall, P J / Martelli, G / Martellotti, G / Martinazzoli, L / Martinelli, M / Martinez Santos, D / Martinez Vidal, F / Massafferri, A / Materok, M / Matev, R / Mathad, A / Matiunin, V / Matteuzzi, C / Mattioli, K R / Mauri, A / Maurice, E / Mauricio, J / Mazurek, M / McCann, M / Mcconnell, L / McGrath, T H / McHugh, N T / McNab, A / McNulty, R / Mead, J V / Meadows, B / Meier, G / Melnychuk, D / Meloni, S / Merk, M / Merli, A / Meyer Garcia, L / Miao, D / Mikhasenko, M / Milanes, D A / Millard, E / Milovanovic, M / Minard, M-N / Minotti, A / Miralles, T / Mitchell, S E / Mitreska, B / Mitzel, D S / Mödden, A / Mohammed, R A / Moise, R D / Mokhnenko, S / Mombächer, T / Monk, M / Monroy, I A / Monteil, S / Morello, G / Morello, M J / Morgenthaler, M P / Moron, J / Morris, A B / Morris, A G / Mountain, R / Mu, H / Muhammad, E / Muheim, F / Mulder, M / Müller, K / Murphy, C H / Murray, D / Murta, R / Muzzetto, P / Naik, P / Nakada, T / Nandakumar, R / Nanut, T / Nasteva, I / Needham, M / Neri, N / Neubert, S / Neufeld, N / Neustroev, P / Newcombe, R / Nicolini, J / Nicotra, D / Niel, E M / Nieswand, S / Nikitin, N / Nolte, N S / Normand, C / Novoa Fernandez, J / Nowak, G N / Nunez, C / Oblakowska-Mucha, A / Obraztsov, V / Oeser, T / Okamura, S / Oldeman, R / Oliva, F / Onderwater, C J G / O'Neil, R H / Otalora Goicochea, J M / Ovsiannikova, T / Owen, P / Oyanguren, A / Ozcelik, O / Padeken, K O / Pagare, B / Pais, P R / Pajero, T / Palano, A / Palutan, M / Pan, Y / Panshin, G / Paolucci, L / Papanestis, A / Pappagallo, M / Pappalardo, L L / Pappenheimer, C / Parker, W / Parkes, C / Passalacqua, B / Passaleva, G / Pastore, A / Patel, M / Patrignani, C / Pawley, C J / Pellegrino, A / Pepe Altarelli, M / Perazzini, S / Pereima, D / Pereiro Castro, A / Perret, P / Petridis, K / Petrolini, A / Petrov, A / Petrucci, S / Petruzzo, M / Pham, H / Philippov, A / Piandani, R / Pica, L / Piccini, M / Pietrzyk, B / Pietrzyk, G / Pili, M / Pinci, D / Pisani, F / Pizzichemi, M / Placinta, V / Plews, J / Plo Casasus, M / Polci, F / Poli Lener, M / Poluektov, A / Polukhina, N / Polyakov, I / Polycarpo, E / Ponce, S / Popov, D / Poslavskii, S / Prasanth, K / Promberger, L / Prouve, C / Pugatch, V / Puill, V / Punzi, G / Qi, H R / Qian, W / Qin, N / Qu, S / Quagliani, R / Raab, N V / Rachwal, B / Rademacker, J H / Rajagopalan, R / Rama, M / Ramos Pernas, M / Rangel, M S / Ratnikov, F / Raven, G / Rebollo De Miguel, M / Redi, F / Reich, J / Reiss, F / Remon Alepuz, C / Ren, Z / Resmi, P K / Ribatti, R / Ricci, A M / Ricciardi, S / Richardson, K / Richardson-Slipper, M / Rinnert, K / Robbe, P / Robertson, G / Rodrigues, A B / Rodrigues, E / Rodriguez Fernandez, E / Rodriguez Lopez, J A / Rodriguez Rodriguez, E / Rolf, D L / Rollings, A / Roloff, P / Romanovskiy, V / Romero Lamas, M / Romero Vidal, A / Roth, J D / Rotondo, M / Rudolph, M S / Ruf, T / Ruiz Fernandez, R A / Ruiz Vidal, J / Ryzhikov, A / Ryzka, J / Saborido Silva, J J / Sagidova, N / Sahoo, N / Saitta, B / Salomoni, M / Sanchez Gras, C / Sanderswood, I / Santacesaria, R / Santamarina Rios, C / Santimaria, M / Santovetti, E / Saranin, D / Sarpis, G / Sarpis, M / Sarti, A / Satriano, C / Satta, A / Saur, M / Savrina, D / Sazak, H / Scantlebury Smead, L G / Scarabotto, A / Schael, S / Scherl, S / Schiller, M / Schindler, H / Schmelling, M / Schmidt, B / Schmitt, S / Schneider, O / Schopper, A / Schubiger, M / Schulte, S / Schune, M H / Schwemmer, R / Sciascia, B / Sciuccati, A / Sellam, S / Semennikov, A / Senghi Soares, M / Sergi, A / Serra, N / Sestini, L / Seuthe, A / Shang, Y / Shangase, D M / Shapkin, M / Shchemerov, I / Shchutska, L / Shears, T / Shekhtman, L / Shen, Z / Sheng, S / Shevchenko, V / Shi, B / Shields, E B / Shimizu, Y / Shmanin, E / Shorkin, R / Shupperd, J D / Siddi, B G / Silva Coutinho, R / Simi, G / Simone, S / Singla, M / Skidmore, N / Skuza, R / Skwarnicki, T / Slater, M W / Smallwood, J C / Smeaton, J G / Smith, E / Smith, K / Smith, M / Snoch, A / Soares Lavra, L / Sokoloff, M D / Soler, F J P / Solomin, A / Solovev, A / Solovyev, I / Song, R / Souza De Almeida, F L / Souza De Paula, B / Spaan, B / Spadaro Norella, E / Spedicato, E / Spiridenkov, E / Spradlin, P / Sriskaran, V / Stagni, F / Stahl, M / Stahl, S / Stanislaus, S / Stein, E N / Steinkamp, O / Stenyakin, O / Stevens, H / Stone, S / Strekalina, D / Su, Y S / Suljik, F / Sun, J / Sun, L / Sun, Y / Svihra, P / Swallow, P N / Swientek, K / Szabelski, A / Szumlak, T / Szymanski, M / Tan, Y / Taneja, S / Tat, M D / Terentev, A / Teubert, F / Thomas, E / Thompson, D J D / Thomson, K A / Tilquin, H / Tisserand, V / T'Jampens, S / Tobin, M / Tomassetti, L / Tonani, G / Tong, X / Torres Machado, D / Tou, D Y / Trilov, S M / Trippl, C / Tuci, G / Tuning, N / Ukleja, A / Unverzagt, D J / Usachov, A / Ustyuzhanin, A / Uwer, U / Vagner, A / Vagnoni, V / Valassi, A / Valenti, G / Valls Canudas, N / Van Dijk, M / Van Hecke, H / van Herwijnen, E / Van Hulse, C B / van Veghel, M / Vazquez Gomez, R / Vazquez Regueiro, P / Vázquez Sierra, C / Vecchi, S / Velthuis, J J / Veltri, M / Venkateswaran, A / Veronesi, M / Vesterinen, M / Vieira, D / Vieites Diaz, M / Vilasis-Cardona, X / Vilella Figueras, E / Villa, A / Vincent, P / Volle, F C / Vom Bruch, D / Vorobyev, A / Vorobyev, V / Voropaev, N / Vos, K / Vrahas, C / Walsh, J / Walton, E J / Wan, G / Wang, C / Wang, G / Wang, J / Wang, M / Wang, R / Wang, X / Wang, Y / Wang, Z / Ward, J A / Watson, N K / Websdale, D / Wei, Y / Westhenry, B D C / White, D J / Whitehead, M / Wiederhold, A R / Wiedner, D / Wilkinson, G / Wilkinson, M K / Williams, I / Williams, M / Williams, M R J / Williams, R / Wilson, F F / Wislicki, W / Witek, M / Witola, L / Wong, C P / Wormser, G / Wotton, S A / Wu, H / Wu, J / Wyllie, K / Xiang, Z / Xie, Y / Xu, A / Xu, J / Xu, L / Xu, M / Xu, Q / Xu, Z / Yang, D / Yang, S / Yang, X / Yang, Y / Yang, Z / Yeomans, L E / Yeroshenko, V / Yeung, H / Yin, H / Yu, J / Yuan, X / Zaffaroni, E / Zavertyaev, M / Zdybal, M / Zeng, M / Zhang, C / Zhang, D / Zhang, L / Zhang, S / Zhang, Y / Zhao, Y / Zharkova, A / Zhelezov, A / Zheng, Y / Zhou, T / Zhou, X / Zhou, Y / Zhovkovska, V / Zhu, X / Zhu, Z / Zhukov, V / Zou, Q / Zucchelli, S / Zuliani, D / Zunica, G

    Physical review letters

    2023  Volume 131, Issue 11, Page(s) 111802

    Abstract: The ratios of branching fractions R(D^{*})≡B(B[over ¯]→D^{*}τ^{-}ν[over ¯]_{τ})/B(B[over ¯]→D^{*}μ^ ... ν[over ¯]_{μ}) and R(D^{0})≡B(B^{-}→D^{0}τ^{-}ν[over ¯]_{τ})/B(B^{-}→D^{0}μ^{-}ν[over ¯]_{μ}) are ... is identified in the decay mode τ^{-}→μ^{-}ν_{τ}ν[over ¯]_{μ}. The measured values are R(D^{*})=0 ...

    Abstract The ratios of branching fractions R(D^{*})≡B(B[over ¯]→D^{*}τ^{-}ν[over ¯]_{τ})/B(B[over ¯]→D^{*}μ^{-}ν[over ¯]_{μ}) and R(D^{0})≡B(B^{-}→D^{0}τ^{-}ν[over ¯]_{τ})/B(B^{-}→D^{0}μ^{-}ν[over ¯]_{μ}) are measured, assuming isospin symmetry, using a sample of proton-proton collision data corresponding to 3.0  fb^{-1} of integrated luminosity recorded by the LHCb experiment during 2011 and 2012. The tau lepton is identified in the decay mode τ^{-}→μ^{-}ν_{τ}ν[over ¯]_{μ}. The measured values are R(D^{*})=0.281±0.018±0.024 and R(D^{0})=0.441±0.060±0.066, where the first uncertainty is statistical and the second is systematic. The correlation between these measurements is ρ=-0.43. The results are consistent with the current average of these quantities and are at a combined 1.9 standard deviations from the predictions based on lepton flavor universality in the standard model.
    Language English
    Publishing date 2023-09-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 208853-8
    ISSN 1079-7114 ; 0031-9007
    ISSN (online) 1079-7114
    ISSN 0031-9007
    DOI 10.1103/PhysRevLett.131.111802
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: C. R. Rao (1920-2023).

    Banks, David / Clarke, Jennifer L

    Science (New York, N.Y.)

    2023  Volume 382, Issue 6672, Page(s) 771

    Abstract: Pioneering statistician and father of information geometry. ...

    Abstract Pioneering statistician and father of information geometry.
    Language English
    Publishing date 2023-11-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 128410-1
    ISSN 1095-9203 ; 0036-8075
    ISSN (online) 1095-9203
    ISSN 0036-8075
    DOI 10.1126/science.adl1762
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: BICORN: An R package for integrative inference of de novo cis-regulatory modules.

    Chen, Xi / Gu, Jinghua / Neuwald, Andrew F / Hilakivi-Clarke, Leena / Clarke, Robert / Xuan, Jianhua

    Scientific reports

    2020  Volume 10, Issue 1, Page(s) 7960

    Abstract: ... package is implemented in R (version 3.4 or later) and is publicly available on the CRAN server at https ... cran.r-project.org/web/packages/BICORN/index.html. ...

    Abstract Genome-wide transcription factor (TF) binding signal analyses reveal co-localization of TF binding sites based on inferred cis-regulatory modules (CRMs). CRMs play a key role in understanding the cooperation of multiple TFs under specific conditions. However, the functions of CRMs and their effects on nearby gene transcription are highly dynamic and context-specific and therefore are challenging to characterize. BICORN (Bayesian Inference of COoperative Regulatory Network) builds a hierarchical Bayesian model and infers context-specific CRMs based on TF-gene binding events and gene expression data for a particular cell type. BICORN automatically searches for a list of candidate CRMs based on the input TF bindings at regulatory regions associated with genes of interest. Applying Gibbs sampling, BICORN iteratively estimates model parameters of CRMs, TF activities, and corresponding regulation on gene transcription, which it models as a sparse network of functional CRMs regulating target genes. The BICORN package is implemented in R (version 3.4 or later) and is publicly available on the CRAN server at https://cran.r-project.org/web/packages/BICORN/index.html.
    MeSH term(s) Bayes Theorem ; Cell Line ; Computational Biology/methods ; Gene Regulatory Networks ; Humans ; Regulatory Sequences, Nucleic Acid/genetics ; Software
    Language English
    Publishing date 2020-05-14
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-020-63043-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: debCAM: a bioconductor R package for fully unsupervised deconvolution of complex tissues.

    Chen, Lulu / Wu, Chiung-Ting / Wang, Niya / Herrington, David M / Clarke, Robert / Wang, Yue

    Bioinformatics (Oxford, England)

    2020  Volume 36, Issue 12, Page(s) 3927–3929

    Abstract: ... into molecularly distinctive tissue or cell subtypes based on bulk expression profiles. We implement an R package ...

    Abstract Summary: We develop a fully unsupervised deconvolution method to dissect complex tissues into molecularly distinctive tissue or cell subtypes based on bulk expression profiles. We implement an R package, deconvolution by Convex Analysis of Mixtures (debCAM) that can automatically detect tissue/cell-specific markers, determine the number of constituent subtypes, calculate subtype proportions in individual samples and estimate tissue/cell-specific expression profiles. We demonstrate the performance and biomedical utility of debCAM on gene expression, methylation, proteomics and imaging data. With enhanced data preprocessing and prior knowledge incorporation, debCAM software tool will allow biologists to perform a more comprehensive and unbiased characterization of tissue remodeling in many biomedical contexts.
    Availability and implementation: http://bioconductor.org/packages/debCAM.
    Supplementary information: Supplementary data are available at Bioinformatics online.
    MeSH term(s) Gene Expression ; Proteomics ; Software
    Language English
    Publishing date 2020-03-04
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1422668-6
    ISSN 1367-4811 ; 1367-4803
    ISSN (online) 1367-4811
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/btaa205
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Sample size assessments for thermal physiology studies: An R package and R Shiny application

    van Steenderen, Clarke J. M. / Sutton, Guy F. / Owen, Candice A. / Martin, Grant D. / Coetzee, Julie A.

    Physiological Entomology. 2023 Dec., v. 48, no. 4 p.141-149

    2023  

    Abstract: ... of sample size on these measures are lacking. Here, we present ThermalSampleR; an R CRAN package and Shiny ... a user‐friendly interface equivalent to the package for users not familiar with R programming ...

    Abstract Required sample sizes for a study need to be carefully assessed to account for logistics, cost, ethics and statistical rigour. For example, many studies have shown that methodological variations can impact the critical thermal limits (CTLs) recorded for a species, although studies on the impact of sample size on these measures are lacking. Here, we present ThermalSampleR; an R CRAN package and Shiny application that can assist researchers in determining when adequate sample sizes have been reached for their data. The method is particularly useful because it is not taxon specific. The Shiny application offers a user‐friendly interface equivalent to the package for users not familiar with R programming. ThermalSampleR is accompanied by an in‐built example dataset, which we use to guide the user through the workflow with a fully worked tutorial.
    Keywords data collection ; entomology ; ethics ; physiology ; sample size ; user interface
    Language English
    Dates of publication 2023-12
    Size p. 141-149.
    Publishing place The Royal Entomological Society
    Document type Article ; Online
    Note JOURNAL ARTICLE
    ZDB-ID 194751-5
    ISSN 0307-6962
    ISSN 0307-6962
    DOI 10.1111/phen.12416
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

  6. Article ; Online: Multi-centre, multi-vendor reproducibility of 7T QSM and R

    Rua, Catarina / Clarke, William T / Driver, Ian D / Mougin, Olivier / Morgan, Andrew T / Clare, Stuart / Francis, Susan / Muir, Keith W / Wise, Richard G / Carpenter, T Adrian / Williams, Guy B / Rowe, James B / Bowtell, Richard / Rodgers, Christopher T

    NeuroImage

    2020  Volume 223, Page(s) 117358

    Abstract: ... χ) and R: Conclusion: The harmonized UK7T protocol and pipeline delivers on average a 3-fold ... improvement in the coefficient of reproducibility for QSM and R ...

    Abstract Introduction: We present the reliability of ultra-high field T
    Methods: Ten healthy volunteers were scanned with harmonised single- and multi-echo T
    Results and discussion: Mean susceptibility (χ) and R
    Conclusion: The harmonized UK7T protocol and pipeline delivers on average a 3-fold improvement in the coefficient of reproducibility for QSM and R
    MeSH term(s) Adult ; Brain/anatomy & histology ; Brain/diagnostic imaging ; Brain Mapping/methods ; Female ; Humans ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging ; Male ; Reproducibility of Results
    Keywords covid19
    Language English
    Publishing date 2020-09-09
    Publishing country United States
    Document type Journal Article ; Multicenter Study ; Research Support, Non-U.S. Gov't
    ZDB-ID 1147767-2
    ISSN 1095-9572 ; 1053-8119
    ISSN (online) 1095-9572
    ISSN 1053-8119
    DOI 10.1016/j.neuroimage.2020.117358
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article: Catalytic asymmetric total syntheses of (R)-bgugaine and (R)-irnidine

    Maddocks, Christopher J / Clarke, Paul A

    Tetrahedron. 2021 Jan. 08, v. 78

    2021  

    Abstract: An enantioselective total synthesis of (R)-bgugaine and the first enantioselective total synthesis ... of (R)-irnidine are reported. The key steps are the asymmetric ‘clip-cycle’ formation of the pyrrolidine ... ring in 94:6 e.r., which is common to both natural products, followed by Liebeskind–Srogl coupling and ...

    Abstract An enantioselective total synthesis of (R)-bgugaine and the first enantioselective total synthesis of (R)-irnidine are reported. The key steps are the asymmetric ‘clip-cycle’ formation of the pyrrolidine ring in 94:6 e.r., which is common to both natural products, followed by Liebeskind–Srogl coupling and Wolf-Kishner reduction. The route yields (R)-bgugaine and (R)-irnidine in 6 steps and in overall yields of 33% and 18% respectively.
    Keywords enantioselectivity ; synthesis ; yields
    Language English
    Dates of publication 2021-0108
    Publishing place Elsevier Ltd
    Document type Article
    Note NAL-light
    ZDB-ID 204285-x
    ISSN 1464-5416 ; 0040-4020 ; 0563-2064
    ISSN (online) 1464-5416
    ISSN 0040-4020 ; 0563-2064
    DOI 10.1016/j.tet.2020.131789
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

  8. Article ; Online: Author Correction: BICORN: An R package for integrative inference of de novo cis-regulatory modules.

    Chen, Xi / Gu, Jinghua / Neuwald, Andrew F / Hilakivi-Clarke, Leena / Clarke, Robert / Xuan, Jianhua

    Scientific reports

    2020  Volume 10, Issue 1, Page(s) 16962

    Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper. ...

    Abstract An amendment to this paper has been published and can be accessed via a link at the top of the paper.
    Language English
    Publishing date 2020-10-07
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-020-74149-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article: The Key to R-E-S-P-E-C-T Is Human-Centred Design.

    Clarke, Lindsay / Cameron, Connie

    Nursing leadership (Toronto, Ont.)

    2022  Volume 35, Issue 2, Page(s) 44–48

    Abstract: Disrespect and burnout are long-standing systemic issues causing nurses to leave the profession at an alarming rate. Human-centred design offers a fresh approach to tackling this challenge and recognizes that the journey to discover what is important to ... ...

    Abstract Disrespect and burnout are long-standing systemic issues causing nurses to leave the profession at an alarming rate. Human-centred design offers a fresh approach to tackling this challenge and recognizes that the journey to discover what is important to nurses is just as meaningful as the destination. Leveraging "inside/outside" expertise and individuals with advanced training in creative problem solving, nurse leaders are empowered to adopt a beginner's mindset and openly explore the challenge. Leading with empathy and engaging with authenticity allows for a deeper understanding of the problem. This understanding opens a path to co-design solutions that enhance nurses' feelings of respect.
    MeSH term(s) Burnout, Professional/etiology ; Empathy ; Employment ; Humans ; Job Satisfaction ; Nursing Staff, Hospital
    Language English
    Publishing date 2022-08-13
    Publishing country Canada
    Document type Journal Article
    ZDB-ID 2115337-1
    ISSN 1910-622X ; 1481-9643
    ISSN 1910-622X ; 1481-9643
    DOI 10.12927/cjnl.2022.26872
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article: BinMat: A molecular genetics tool for processing binary data obtained from fragment analysis in R.

    van Steenderen, Clarke

    Biodiversity data journal

    2022  Volume 10, Page(s) e77875

    Abstract: ... here (BinMat) is a free, open-source and user-friendly R Shiny programme (https://clarkevansteenderen ... shinyapps.io/BINMAT/) that automates the analysis pipeline on one platform. It is also available as an R ... package on the Comprehensive R Archive Network (CRAN) (https://cran.r-project.org/web/packages/BinMat ...

    Abstract Processing and visualising trends in the binary data (presence or absence of electropherogram peaks), obtained from fragment analysis methods in molecular biology, can be a time-consuming and often cumbersome process. Scoring and analysing binary data (from methods, such as AFLPs, ISSRs and RFLPs) entail complex workflows that require a high level of computational and bioinformatic skills. The application presented here (BinMat) is a free, open-source and user-friendly R Shiny programme (https://clarkevansteenderen.shinyapps.io/BINMAT/) that automates the analysis pipeline on one platform. It is also available as an R package on the Comprehensive R Archive Network (CRAN) (https://cran.r-project.org/web/packages/BinMat/index.html). BinMat consolidates replicate sample pairs of binary data into consensus reads, produces summary statistics and allows the user to visualise their data as ordination plots and clustering trees without having to use multiple programmes and input files or rely on previous programming experience.
    Language English
    Publishing date 2022-03-11
    Publishing country Bulgaria
    Document type Journal Article
    ZDB-ID 2736709-5
    ISSN 1314-2828
    ISSN 1314-2828
    DOI 10.3897/BDJ.10.e77875
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top