| A large-scale evaluation of computational protein function prediction P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ... Nature methods 10 (3), 221-227, 2013 | 748 | 2013 |
| An expanded evaluation of protein function prediction methods shows an improvement in accuracy Genome Biology, 2016 | 259 | 2016 |
| NNcon: improved protein contact map prediction using 2D-recursive neural networks AN Tegge, Z Wang, J Eickholt, J Cheng Nucleic acids research 37 (suppl 2), W515-W518, 2009 | 164 | 2009 |
| A neural network approach to ordinal regression J Cheng, Z Wang, G Pollastri 2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008 | 124 | 2008 |
| SoyDB: a knowledge database of soybean transcription factors Z Wang, M Libault, T Joshi, B Valliyodan, H Nguyen, D Xu, G Stacey, ... BMC plant biology 10 (1), 14, 2010 | 103 | 2010 |
| Long non-coding RNAs as prognostic markers in human breast cancer H Liu, J Li, P Koirala, X Ding, B Chen, Y Wang, Z Wang, C Wang, X Zhang, ... Oncotarget 7 (15), 20584, 2016 | 102 | 2016 |
| MULTICOM: a multi-level combination approach to protein structure prediction and its assessments in CASP8 Z Wang, J Eickholt, J Cheng Bioinformatics 26 (7), 882-888, 2010 | 96 | 2010 |
| Evaluating the absolute quality of a single protein model using structural features and support vector machines Z Wang, AN Tegge, J Cheng Proteins: Structure, Function, and Bioinformatics 75 (3), 638-647, 2009 | 95 | 2009 |
| SMOQ: a tool for predicting the absolute residue-specific quality of a single protein model with support vector machines R Cao, Z Wang, Y Wang, J Cheng BMC bioinformatics 15 (1), 120, 2014 | 91 | 2014 |
| APOLLO: a quality assessment service for single and multiple protein models Z Wang, J Eickholt, J Cheng Bioinformatics 27 (12), 1715, 2011 | 77 | 2011 |
| Soybean Knowledge Base (SoyKB): a web resource for soybean translational genomics T Joshi, K Patil, MR Fitzpatrick, LD Franklin, Q Yao, JR Cook, Z Wang, ... BMC genomics 13 (S1), S15, 2012 | 75 | 2012 |
| The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ... Genome biology 20 (1), 1-23, 2019 | 73 | 2019 |
| Prediction of global and local quality of CASP8 models by MULTICOM series J Cheng, Z Wang, AN Tegge, J Eickholt Proteins: Structure, Function, and Bioinformatics 77 (S9), 181-184, 2009 | 65 | 2009 |
| Predicting DNA methylation state of CpG dinucleotide using genome topological features and deep networks Y Wang, T Liu, D Xu, H Shi, C Zhang, YY Mo, Z Wang Scientific reports 6, 19598, 2016 | 60 | 2016 |
| Designing and evaluating the MULTICOM protein local and global model quality prediction methods in the CASP10 experiment R Cao, Z Wang, J Cheng BMC structural biology 14 (1), 13, 2014 | 42 | 2014 |
| The MULTICOM toolbox for protein structure prediction J Cheng, J Li, Z Wang, J Eickholt, X Deng BMC bioinformatics 13 (1), 1-12, 2012 | 42 | 2012 |
| A Protein Domain Co-Occurrence Network Approach for Predicting Protein Function and Inferring Species Phylogeny Z Wang, XC Zhang, MH Le, D Xu, G Stacey, J Cheng PloS one 6 (3), e17906, 2011 | 41 | 2011 |
| The Properties of Genome Conformation and Spatial Gene Interaction and Regulation Networks of Normal and Malignant Human Cell Types Z Wang, R Cao, K Taylor, A Briley, C Caldwell, J Cheng PLOS ONE 8 (3), e58793, 2013 | 35 | 2013 |
| Three-level prediction of protein function by combining profile-sequence search, profile-profile search, and domain co-occurrence networks Z Wang, R Cao, J Cheng BMC Bioinformatics 14 (Suppl 3), S3, 2013 | 33 | 2013 |
| Benchmarking deep networks for predicting residue-specific quality of individual protein models in CASP11 T Liu, Y Wang, J Eickholt, Z Wang Scientific reports 6, 19301, 2016 | 29 | 2016 |
Jianlin ChengWilliam and Nancy Thompson Professor, University of MissouriVerified email at missouri.edu
