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Scientific Reports|April 24, 2021
VEHiCLE: a Variationally Encoded Hi-C Loss Enhancement algorithm for improving and generating Hi-C dataMax Highsmith, Jianlin ChengBMC Bioinformatics|December 16, 2011
MSACompro: protein multiple sequence alignment using predicted secondary structure, solvent accessibility, and residue-residue contactsXin Deng, Jianlin ChengBMC Bioinformatics|March 19, 2013
DNdisorder: predicting protein disorder using boosting and deep networksJesse Eickholt, Jianlin ChengScientific Reports|May 11, 2016
A Stochastic Point Cloud Sampling Method for Multi-Template Protein Comparative ModelingJilong Li, Jianlin ChengBiomolecules|January 21, 2023
Improving Protein-Ligand Interaction Modeling with cryo-EM Data, Templates, and Deep Learning in 2021 Ligand Model ChallengeNabin Giri, Jianlin ChengBioinformatics (Oxford, England)|October 11, 2012
Predicting protein residue-residue contacts using deep networks and boostingJesse Eickholt, Jianlin ChengInternational Journal of Molecular Sciences|September 28, 2021
Four-Dimensional Chromosome Structure PredictionMax Highsmith, Jianlin ChengBMC Bioinformatics|October 24, 2015
A large-scale conformation sampling and evaluation server for protein tertiary structure prediction and its assessment in CASP11Jilong Li, Renzhi Cao, Jianlin ChengCommunications Biology|November 17, 2025
Boosting AlphaFold protein tertiary structure prediction through MSA engineering and extensive model sampling and ranking in CASP16Jian Liu, Pawan Neupane, Jianlin ChengBioinformatics (Oxford, England)|July 27, 2023
Single-cell Hi-C data enhancement with deep residual and generative adversarial networksYanli Wang, Zhiye Guo, Jianlin ChengPageof 30