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Jianlin Cheng

Showing results (31-40 of 298) with videos related to

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BMC Bioinformatics|July 27, 2014
Enhancing HMM-based protein profile-profile alignment with structural features and evolutionary coupling informationXin Deng, Jianlin Cheng
BMC Bioinformatics|January 27, 2018
CONFOLD2: improved contact-driven ab initio protein structure modelingBadri Adhikari, Jianlin Cheng
BMC Bioinformatics|April 20, 2022
DISTEMA: distance map-based estimation of single protein model accuracy with attentive 2D convolutional neural networkXiao Chen, Jianlin Cheng
Nucleic Acids Research|January 28, 2014
Large-scale reconstruction of 3D structures of human chromosomes from chromosomal contact dataTuan Trieu, Jianlin Cheng
Biomolecules|November 27, 2024
Correction: Giri et al. Improving Protein-Ligand Interaction Modeling with cryo-EM Data, Templates, and Deep Learning in 2021 Ligand Model Challenge. <i>Biomolecules</i> 2023, <i>13</i>, 132Nabin Giri, Jianlin Cheng
Biorxiv : the Preprint Server for Biology|January 23, 2024
De Novo Atomic Protein Structure Modeling for Cryo-EM Density Maps Using 3D Transformer and Hidden Markov ModelNabin Giri, Jianlin Cheng
Bioinformatics (Oxford, England)|February 19, 2024
Geometry-complete perceptron networks for 3D molecular graphsAlex Morehead, Jianlin Cheng
BMC Bioinformatics|November 16, 2017
ClusterTAD: an unsupervised machine learning approach to detecting topologically associated domains of chromosomes from Hi-C dataOluwatosin Oluwadare, Jianlin Cheng
Scientific Reports|November 7, 2015
De novo protein conformational sampling using a probabilistic graphical modelDebswapna Bhattacharya, Jianlin Cheng
Scientific Reports|April 24, 2021
VEHiCLE: a Variationally Encoded Hi-C Loss Enhancement algorithm for improving and generating Hi-C dataMax Highsmith, Jianlin Cheng
Pageof 30

Showing results (31-40 of 298) with videos related to

Sort By:
Pageof 30
BMC Bioinformatics|July 27, 2014
Enhancing HMM-based protein profile-profile alignment with structural features and evolutionary coupling informationXin Deng, Jianlin Cheng
BMC Bioinformatics|January 27, 2018
CONFOLD2: improved contact-driven ab initio protein structure modelingBadri Adhikari, Jianlin Cheng
BMC Bioinformatics|April 20, 2022
DISTEMA: distance map-based estimation of single protein model accuracy with attentive 2D convolutional neural networkXiao Chen, Jianlin Cheng
Nucleic Acids Research|January 28, 2014
Large-scale reconstruction of 3D structures of human chromosomes from chromosomal contact dataTuan Trieu, Jianlin Cheng
Biomolecules|November 27, 2024
Correction: Giri et al. Improving Protein-Ligand Interaction Modeling with cryo-EM Data, Templates, and Deep Learning in 2021 Ligand Model Challenge. <i>Biomolecules</i> 2023, <i>13</i>, 132Nabin Giri, Jianlin Cheng
Biorxiv : the Preprint Server for Biology|January 23, 2024
De Novo Atomic Protein Structure Modeling for Cryo-EM Density Maps Using 3D Transformer and Hidden Markov ModelNabin Giri, Jianlin Cheng
Bioinformatics (Oxford, England)|February 19, 2024
Geometry-complete perceptron networks for 3D molecular graphsAlex Morehead, Jianlin Cheng
BMC Bioinformatics|November 16, 2017
ClusterTAD: an unsupervised machine learning approach to detecting topologically associated domains of chromosomes from Hi-C dataOluwatosin Oluwadare, Jianlin Cheng
Scientific Reports|November 7, 2015
De novo protein conformational sampling using a probabilistic graphical modelDebswapna Bhattacharya, Jianlin Cheng
Scientific Reports|April 24, 2021
VEHiCLE: a Variationally Encoded Hi-C Loss Enhancement algorithm for improving and generating Hi-C dataMax Highsmith, Jianlin Cheng
Pageof 30