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  1. Artikel ; Online: Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen

    Zhijian Li / Christoph Kuppe / Susanne Ziegler / Mingbo Cheng / Nazanin Kabgani / Sylvia Menzel / Martin Zenke / Rafael Kramann / Ivan G. Costa

    Nature Communications, Vol 12, Iss 1, Pp 1-

    2021  Band 14

    Abstract: scATAC-Seq yields data that is extremely sparse. Here, the authors present a computationally efficient imputation method called scOpen that improves the downstream analyses of scATAC-Seq data and use it to identify transcriptional regulators of kidney ... ...

    Abstract scATAC-Seq yields data that is extremely sparse. Here, the authors present a computationally efficient imputation method called scOpen that improves the downstream analyses of scATAC-Seq data and use it to identify transcriptional regulators of kidney fibrosis.
    Schlagwörter Science ; Q
    Sprache Englisch
    Erscheinungsdatum 2021-11-01T00:00:00Z
    Verlag Nature Portfolio
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: Next-Generation Morphometry for pathomics-data mining in histopathology

    David L. Hölscher / Nassim Bouteldja / Mehdi Joodaki / Maria L. Russo / Yu-Chia Lan / Alireza Vafaei Sadr / Mingbo Cheng / Vladimir Tesar / Saskia V. Stillfried / Barbara M. Klinkhammer / Jonathan Barratt / Jürgen Floege / Ian S. D. Roberts / Rosanna Coppo / Ivan G. Costa / Roman D. Bülow / Peter Boor

    Nature Communications, Vol 14, Iss 1, Pp 1-

    2023  Band 14

    Abstract: Pathology diagnostics still rely on tissue morphology assessment by trained experts. Here, the authors perform deep-learning-based segmentation followed by large-scale feature extraction of histological images, i.e., next-generation morphometry, to ... ...

    Abstract Pathology diagnostics still rely on tissue morphology assessment by trained experts. Here, the authors perform deep-learning-based segmentation followed by large-scale feature extraction of histological images, i.e., next-generation morphometry, to enable outcome-relevant and disease-specific pathomics analysis of non-tumor kidney pathology.
    Schlagwörter Science ; Q
    Sprache Englisch
    Erscheinungsdatum 2023-01-01T00:00:00Z
    Verlag Nature Portfolio
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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