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IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 10, 2015
A Deep Learning Network Approach to ab initio Protein Secondary Structure PredictionMatt Spencer, Jesse Eickholt, Jianlin ChengBMC Bioinformatics|March 19, 2013
DNdisorder: predicting protein disorder using boosting and deep networksJesse Eickholt, Jianlin ChengBioinformatics (Oxford, England)|October 11, 2012
Predicting protein residue-residue contacts using deep networks and boostingJesse Eickholt, Jianlin ChengBMC Bioinformatics|November 26, 2013
A study and benchmark of DNcon: a method for protein residue-residue contact prediction using deep networksJesse Eickholt, Jianlin ChengBMC Structural Biology|October 13, 2011
A conformation ensemble approach to protein residue-residue contactJesse Eickholt, Zheng Wang, Jianlin ChengMolecular Biosystems|August 30, 2011
A comprehensive overview of computational protein disorder prediction methodsXin Deng, Jesse Eickholt, Jianlin ChengBioinformatics (Oxford, England)|May 7, 2011
APOLLO: a quality assessment service for single and multiple protein modelsZheng Wang, Jesse Eickholt, Jianlin ChengBioinformatics (Oxford, England)|February 13, 2010
MULTICOM: a multi-level combination approach to protein structure prediction and its assessments in CASP8Zheng Wang, Jesse Eickholt, Jianlin ChengBMC Bioinformatics|February 3, 2011
DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learningJesse Eickholt, Xin Deng, Jianlin ChengBMC Bioinformatics|December 23, 2009
PreDisorder: ab initio sequence-based prediction of protein disordered regionsXin Deng, Jesse Eickholt, Jianlin ChengPageof 35