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BMC Bioinformatics|November 26, 2013
A study and benchmark of DNcon: a method for protein residue-residue contact prediction using deep networksJesse Eickholt, Jianlin ChengMethods (San Diego, Calif.)|September 16, 2015
Integrated protein function prediction by mining function associations, sequences, and protein-protein and gene-gene interaction networksRenzhi Cao, Jianlin ChengBioinformatics (Oxford, England)|March 21, 2006
A machine learning information retrieval approach to protein fold recognitionJianlin Cheng, Pierre BaldiNAR Genomics and Bioinformatics|March 24, 2025
Reconstructing 3D chromosome structures from single-cell Hi-C data with SO(3)-equivariant graph neural networksYanli Wang, Jianlin ChengBMC Bioinformatics|April 5, 2007
Improved residue contact prediction using support vector machines and a large feature setJianlin Cheng, Pierre BaldiProtein Science : a Publication of the Protein Society|November 8, 2011
An iterative self-refining and self-evaluating approach for protein model quality estimationZheng Wang, Jianlin ChengBMC Bioinformatics|July 27, 2014
Enhancing HMM-based protein profile-profile alignment with structural features and evolutionary coupling informationXin Deng, Jianlin ChengBMC Bioinformatics|January 27, 2018
CONFOLD2: improved contact-driven ab initio protein structure modelingBadri Adhikari, Jianlin ChengBMC Bioinformatics|April 20, 2022
DISTEMA: distance map-based estimation of single protein model accuracy with attentive 2D convolutional neural networkXiao Chen, Jianlin ChengNucleic Acids Research|January 28, 2014
Large-scale reconstruction of 3D structures of human chromosomes from chromosomal contact dataTuan Trieu, Jianlin ChengPageof 31