Rezultati - Jianlin Cheng

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  1. 1
    A multi-template combination algorithm for protein comparative modeling

    A multi-template combination algorithm for protein comparative modeling od Jianlin Cheng

    Izdano 2008
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  2. 2
    Integrated protein function prediction by mining function associations, sequences, and protein–protein and gene–gene interaction networks

    Integrated protein function prediction by mining function associations, sequences, and protein–protein and gene–gene interaction networks od Renzhi Cao, Jianlin Cheng

    Izdano 2015
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  3. 3
    Improved residue contact prediction using support vector machines and a large feature set

    Improved residue contact prediction using support vector machines and a large feature set od Jianlin Cheng, Pierre Baldi

    Izdano 2007
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  4. 4
    i3Drefine Software for Protein 3D Structure Refinement and Its Assessment in CASP10

    i3Drefine Software for Protein 3D Structure Refinement and Its Assessment in CASP10 od Debswapna Bhattacharya, Jianlin Cheng

    Izdano 2013
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  5. 5
    Large-scale reconstruction of 3D structures of human chromosomes from chromosomal contact data

    Large-scale reconstruction of 3D structures of human chromosomes from chromosomal contact data od Tuan Trieu, Jianlin Cheng

    Izdano 2014
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  6. 6
    DNdisorder: predicting protein disorder using boosting and deep networks

    DNdisorder: predicting protein disorder using boosting and deep networks od Jesse Eickholt, Jianlin Cheng

    Izdano 2013
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  7. 7
    A machine learning information retrieval approach to protein fold recognition

    A machine learning information retrieval approach to protein fold recognition od Jianlin Cheng, Pierre Baldi

    Izdano 2006
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  8. 8
    3Drefine: Consistent protein structure refinement by optimizing hydrogen bonding network and atomic‐level energy minimization

    3Drefine: Consistent protein structure refinement by optimizing hydrogen bonding network and atomic‐level energy minimization od Debswapna Bhattacharya, Jianlin Cheng

    Izdano 2012
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  9. 9
    Predicting protein residue–residue contacts using deep networks and boosting

    Predicting protein residue–residue contacts using deep networks and boosting od Jesse Eickholt, Jianlin Cheng

    Izdano 2012
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  10. 10
    Improving protein fold recognition by random forest

    Improving protein fold recognition by random forest od Taeho Jo, Jianlin Cheng

    Izdano 2014
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  11. 11
    Three-stage prediction of protein -sheets by neural networks, alignments and graph algorithms

    Three-stage prediction of protein -sheets by neural networks, alignments and graph algorithms od Jianlin Cheng, Pierre Baldi

    Izdano 2005
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  12. 12
    MOGEN: a tool for reconstructing 3D models of genomes from chromosomal conformation capturing data

    MOGEN: a tool for reconstructing 3D models of genomes from chromosomal conformation capturing data od Tuan Trieu, Jianlin Cheng

    Izdano 2015
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  13. 13
    Protein single-model quality assessment by feature-based probability density functions

    Protein single-model quality assessment by feature-based probability density functions od Renzhi Cao, Jianlin Cheng

    Izdano 2016
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  14. 14
    3D genome structure modeling by Lorentzian objective function

    3D genome structure modeling by Lorentzian objective function od Tuan Trieu, Jianlin Cheng

    Izdano 2016
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  15. 15
    ClusterTAD: an unsupervised machine learning approach to detecting topologically associated domains of chromosomes from Hi-C data

    ClusterTAD: an unsupervised machine learning approach to detecting topologically associated domains of chromosomes from Hi-C data od Oluwatosin Oluwadare, Jianlin Cheng

    Izdano 2017
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  16. 16
    CONFOLD2: improved contact-driven ab initio protein structure modeling

    CONFOLD2: improved contact-driven ab initio protein structure modeling od Badri Adhikari, Jianlin Cheng

    Izdano 2018
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  17. 17
    De novo atomic protein structure modeling for cryoEM density maps using 3D transformer and HMM

    De novo atomic protein structure modeling for cryoEM density maps using 3D transformer and HMM od Nabin Giri, Jianlin Cheng

    Izdano 2024
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  18. 18
    FlowDock: Geometric Flow Matching for Generative Protein-Ligand Docking and Affinity Prediction.

    FlowDock: Geometric Flow Matching for Generative Protein-Ligand Docking and Affinity Prediction. od Alex Morehead, Jianlin Cheng

    Izdano 2025
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  19. 19
    Atomic Protein Structure Modeling from Cryo-EM Using Multi-Modal Deep Learning and AlphaFold3

    Atomic Protein Structure Modeling from Cryo-EM Using Multi-Modal Deep Learning and AlphaFold3 od Nabin Giri, Jianlin Cheng

    Izdano 2025
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  20. 20
    Reconstructing 3D chromosome structures from single-cell Hi-C data with SO(3)-equivariant graph neural networks

    Reconstructing 3D chromosome structures from single-cell Hi-C data with SO(3)-equivariant graph neural networks od Yanli Wang, Jianlin Cheng

    Izdano 2025
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