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  1. Article: Finding potential lncRNA-disease associations using a boosting-based ensemble learning model.

    Zhou, Liqian / Peng, Xinhuai / Zeng, Lijun / Peng, Lihong

    Frontiers in genetics

    2024  Volume 15, Page(s) 1356205

    Abstract: Introduction: ...

    Abstract Introduction:
    Language English
    Publishing date 2024-03-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2024.1356205
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Single-Shot Reconfigurable Femtosecond Imaging of Ultrafast Optical Dynamics.

    Wang, Peng / Wang, Lihong V

    Advanced science (Weinheim, Baden-Wurttemberg, Germany)

    2023  Volume 10, Issue 13, Page(s) e2207222

    Abstract: Understanding ultrafast dynamics in the femtosecond timescale plays a pivotal role in fundamental research and technology innovation. Spatiotemporal observation of those events in real-time requires imaging speeds greater than ... ...

    Abstract Understanding ultrafast dynamics in the femtosecond timescale plays a pivotal role in fundamental research and technology innovation. Spatiotemporal observation of those events in real-time requires imaging speeds greater than 10
    Language English
    Publishing date 2023-03-04
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2808093-2
    ISSN 2198-3844 ; 2198-3844
    ISSN (online) 2198-3844
    ISSN 2198-3844
    DOI 10.1002/advs.202207222
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Balancing low-carbon and eco-friendly development: coordinated development strategy for land use carbon emission efficiency and land ecological security.

    Hong, Ying / Yu, Hong / Lu, Yuchen / Peng, Lihong

    Environmental science and pollution research international

    2024  Volume 31, Issue 6, Page(s) 9495–9511

    Abstract: Correctly identifying and handling the relationship between land use carbon emission efficiency (LUCEE) and land ecological security (LES) are important to promote carbon neutrality in the overall layout of ecological civilization construction. This ... ...

    Abstract Correctly identifying and handling the relationship between land use carbon emission efficiency (LUCEE) and land ecological security (LES) are important to promote carbon neutrality in the overall layout of ecological civilization construction. This study takes 30 provinces in China as the research unit and measures the level of LUCEE and LES in each province in the period from 2011 to 2020 via a super-efficient slack-based measure model considering undesirable output. The coupling coordination degree (CCD) of LUCEE and LES is calculated, and its spatiotemporal evolution pattern is explored by kernel density estimation and standard deviational ellipse (SDE). The Dagum Gini coefficient is used to study spatial regional differences and the sources of differences. Results show that (1) China's LUCEE exhibited a downward and then an upward trend, as well as a spatial pattern of "high in the west and low in the east" with obvious regional differences. The LES experienced a positive transformation of "less secure → basically secure → more secure" nationwide, with no apparent regional differences. (2) The kernel density curves showed a continuous increase in CCD in general, while interprovincial differences increased, then decreased, and shifted from multipolar to bipolar differentiation. (3) The migration of SDE centers in CCD demonstrated a path of "southeast → southwest → northeast," and the ellipticity increased from 0.167 to 0.173, showing a trend of concentrated distribution. (4) The overall Gini coefficient of the national CCD indicated a decreasing trend, but imbalances remained, with the largest annual average value in the western region (0.120) and the smallest in the northeast (0.044). The main source of regional disparity was the intensity of transvariation. Accordingly, this study proposes targeted regional development strategies to promote low-carbon sustainable land use and improve the ability of land ecosystems to prevent security risks.
    MeSH term(s) Ecosystem ; Carbon ; China ; Social Conditions ; Spatial Analysis ; Economic Development ; Efficiency
    Chemical Substances Carbon (7440-44-0)
    Language English
    Publishing date 2024-01-08
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-024-31841-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Editorial: Machine Learning-Based Methods for RNA Data Analysis.

    Peng, Lihong / Yang, Jialiang / Wang, Minxian / Zhou, Liqian

    Frontiers in genetics

    2022  Volume 13, Page(s) 828575

    Language English
    Publishing date 2022-05-25
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2022.828575
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Editorial: Machine learning-based methods for RNA data analysis-Volume II.

    Peng, Lihong / Yang, Jialiang / Wang, Minxian / Zhou, Liqian

    Frontiers in genetics

    2022  Volume 13, Page(s) 1010089

    Language English
    Publishing date 2022-11-29
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2022.1010089
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Identifying potential ligand-receptor interactions based on gradient boosted neural network and interpretable boosting machine for intercellular communication analysis.

    Peng, Lihong / Gao, Pengfei / Xiong, Wei / Li, Zejun / Chen, Xing

    Computers in biology and medicine

    2024  Volume 171, Page(s) 108110

    Abstract: Cell-cell communication is essential to many key biological processes. Intercellular communication is generally mediated by ligand-receptor interactions (LRIs). Thus, building a comprehensive and high-quality LRI resource can significantly improve ... ...

    Abstract Cell-cell communication is essential to many key biological processes. Intercellular communication is generally mediated by ligand-receptor interactions (LRIs). Thus, building a comprehensive and high-quality LRI resource can significantly improve intercellular communication analysis. Meantime, due to lack of a "gold standard" dataset, it remains a challenge to evaluate LRI-mediated intercellular communication results. Here, we introduce CellGiQ, a high-confident LRI prediction framework for intercellular communication analysis. Highly confident LRIs are first inferred by LRI feature extraction with BioTriangle, LRI selection using LightGBM, and LRI classification based on ensemble of gradient boosted neural network and interpretable boosting machine. Subsequently, known and identified high-confident LRIs are filtered by combining single-cell RNA sequencing (scRNA-seq) data and further applied to intercellular communication inference through a quartile scoring strategy. To validation the predictions, CellGiQ exploited several evaluation strategies: using AUC and AUPR, it surpassed six competing LRI prediction models on four LRI datasets; through Venn diagrams and molecular docking, its predicted LRIs were validated by five other popular intercellular communication inference methods; based on the overlapping LRIs, it computed high Jaccard index with six other state-of-the-art intercellular communication prediction tools within human HNSCC tissues; by comparing with classical models and literature retrieve, its inferred HNSCC-related intercellular communication results was further validated. The novelty of this study is to identify high-confident LRIs based on machine learning as well as design several LRI validation ways, providing reference for computational LRI prediction. CellGiQ provides an open-source and useful tool to decompose LRI-mediated intercellular communication at single cell resolution. CellGiQ is freely available at https://github.com/plhhnu/CellGiQ.
    MeSH term(s) Humans ; Ligands ; Molecular Docking Simulation ; Squamous Cell Carcinoma of Head and Neck ; Neural Networks, Computer ; Head and Neck Neoplasms
    Chemical Substances Ligands
    Language English
    Publishing date 2024-02-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2024.108110
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Data-driven system matrix manipulation enabling fast functional imaging and intra-image nonrigid motion correction in tomography.

    Hu, Peng / Tong, Xin / Lin, Li / Wang, Lihong V

    bioRxiv : the preprint server for biology

    2024  

    Abstract: Tomographic imaging modalities are described by large system matrices. Sparse sampling and tissue motion degrade system matrix and image quality. Various existing techniques improve the image quality without correcting the system matrices. Here, we ... ...

    Abstract Tomographic imaging modalities are described by large system matrices. Sparse sampling and tissue motion degrade system matrix and image quality. Various existing techniques improve the image quality without correcting the system matrices. Here, we compress the system matrices to improve computational efficiency (e.g., 42 times) using singular value decomposition and fast Fourier transform. Enabled by the efficiency, we propose (1) fast sparsely sampling functional imaging by incorporating a densely sampled prior image into the system matrix, which maintains the critical linearity while mitigating artifacts and (2) intra-image nonrigid motion correction by incorporating the motion as subdomain translations into the system matrix and reconstructing the translations together with the image iteratively. We demonstrate the methods in 3D photoacoustic computed tomography with significantly improved image qualities and clarify their applicability to X-ray CT and MRI or other types of imperfections due to the similarities in system matrices.
    Language English
    Publishing date 2024-01-08
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2024.01.07.574504
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Metabolites and metabolic pathway analysis of sulfadimidine in carp (Cyprinus carpio) based on UHPLC-Q-orbitrap HRMS.

    Wang, Shuwen / Xing, Lihong / Sun, Xiaojie / Li, Zhaoxin / Ding, Tao / Wang, Jiyao / Peng, Jixing / Ma, Haijian / Lin, Ting / Yang, Qingli

    Environmental research

    2024  Volume 252, Issue Pt 3, Page(s) 118967

    Abstract: Sulfadimidine ( ... ...

    Abstract Sulfadimidine (SM
    Language English
    Publishing date 2024-04-19
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 205699-9
    ISSN 1096-0953 ; 0013-9351
    ISSN (online) 1096-0953
    ISSN 0013-9351
    DOI 10.1016/j.envres.2024.118967
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  9. Article ; Online: Characteristics and transfer paths of CO

    Chen, Jingjing / Lin, Xinru / Wang, Xiaojun / Peng, Lihong / Yu, Ang

    Environmental science and pollution research international

    2023  Volume 30, Issue 20, Page(s) 58077–58089

    Abstract: This study focused on ... ...

    Abstract This study focused on CO
    MeSH term(s) Carbon Dioxide/analysis ; Carbon/analysis ; Commerce ; China ; Internationality
    Chemical Substances Carbon Dioxide (142M471B3J) ; Carbon (7440-44-0)
    Language English
    Publishing date 2023-03-28
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-023-26586-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Sustainable development of urban agglomeration based on material metabolism: a case study on Fujian Delta, China.

    Lin, Yangyang / Chen, Yiping / Nie, Hongtao / Peng, Lihong

    Environment, development and sustainability

    2023  , Page(s) 1–23

    Abstract: As highly concentrated urbanized areas, urban agglomerations bear increasing resource depletion and environmental pressures, which threaten the regional sustainable development. Resource and environmental problems arising from the process of urbanization ...

    Abstract As highly concentrated urbanized areas, urban agglomerations bear increasing resource depletion and environmental pressures, which threaten the regional sustainable development. Resource and environmental problems arising from the process of urbanization can be attributed to the dislocation or maladjustment of material metabolism in time or space. Conducting research on material metabolism at the level of urban agglomerations is helpful in finding the root causes of environmental problems to provide support for the reduction of regional resource consumption and pollution emissions. The material metabolism characteristics of the urban agglomeration and internal cities of the Fujian Delta Urban Agglomeration (FDUA) in China are evaluated using the material flow analysis. The following results are observed. (1) The economic development of the FDUA is still at risk of resource consumption, and a large proportion of hidden flow (HF > 80%) drags down the overall metabolic efficiency and sustainable development. (2) The discharge of various pollutants in the FDUA generally shows a downward trend. Improving metabolic efficiency, delayed MCI growth, and improved overall regional environmental quality are observed. (3) Cities that have relatively scarce land resources but are economically developed, such as Xiamen, still bear a relatively heavy ecological burden (EC
    Language English
    Publishing date 2023-03-22
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2015291-7
    ISSN 1573-2975 ; 1387-585X
    ISSN (online) 1573-2975
    ISSN 1387-585X
    DOI 10.1007/s10668-023-03160-w
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