| SynLethDB: synthetic lethality database toward discovery of selective and sensitive anticancer drug targets J Guo, H Liu, J Zheng Nucleic acids research 44 (D1), D1011-D1017, 2016 | 154 | 2016 |
| Prediction of RNA‐binding residues in proteins from primary sequence using an enriched random forest model with a novel hybrid feature X Ma, J Guo, J Wu, H Liu, J Yu, J Xie, X Sun Proteins: Structure, Function, and Bioinformatics 79 (4), 1230-1239, 2011 | 76 | 2011 |
| Sequence-based prediction of DNA-binding residues in proteins with conservation and correlation information X Ma, J Guo, HD Liu, JM Xie, X Sun IEEE/ACM transactions on computational biology and bioinformatics 9 (06 …, 2012 | 68 | 2012 |
| Single-cell transcriptional analysis to uncover regulatory circuits driving cell fate decisions in early mouse development H Chen, J Guo, SK Mishra, P Robson, M Niranjan, J Zheng Bioinformatics 31 (7), 1060-1066, 2015 | 55 | 2015 |
| DNABP: Identification of DNA-binding proteins based on feature selection using a random forest and predicting binding residues X Ma, J Guo, X Sun PloS one 11 (12), e0167345, 2016 | 43 | 2016 |
| HopLand: single-cell pseudotime recovery using continuous Hopfield network-based modeling of Waddington’s epigenetic landscape J Guo, J Zheng Bioinformatics 33 (14), i102-i109, 2017 | 40 | 2017 |
| Sequence‐Based Prediction of RNA‐Binding Proteins Using Random Forest with Minimum Redundancy Maximum Relevance Feature Selection X Ma, J Guo, X Sun BioMed Research International 2015 (1), 425810, 2015 | 33 | 2015 |
| PRBP: prediction of RNA-binding proteins using a random forest algorithm combined with an RNA-binding residue predictor X Ma, J Guo, K Xiao, X Sun IEEE/ACM Transactions on Computational Biology and Bioinformatics 12 (6 …, 2015 | 30 | 2015 |
| NetLand: quantitative modeling and visualization of Waddington’s epigenetic landscape using probabilistic potential J Guo, F Lin, X Zhang, V Tanavde, J Zheng Bioinformatics 33 (10), 1583-1585, 2017 | 25 | 2017 |
| Reliable and fast estimation of recombination rates by convergence diagnosis and parallel Markov Chain Monte Carlo J Guo, R Jain, P Yang, R Fan, CK Kwoh, J Zheng IEEE/ACM Transactions on Computational Biology and Bioinformatics 11 (1), 63-72, 2013 | 23 | 2013 |
| An integrative method for identifying the over-annotated protein-coding genes in microbial genomes JF Yu, K Xiao, DK Jiang, J Guo, JH Wang, X Sun DNA research 18 (6), 435-449, 2011 | 21 | 2011 |
| Analysis of Enhanced Current-Generating Mechanism of Geobacter sulfurreducens Strain via Model-Driven Metabolism Simulation J Meng, Z Xu, J Guo, Y Yue, X Sun PLoS One 8 (9), e73907, 2013 | 15 | 2013 |
| LDsplit: screening for cis-regulatory motifs stimulating meiotic recombination hotspots by analysis of DNA sequence polymorphisms P Yang, M Wu, J Guo, CK Kwoh, TM Przytycka, J Zheng | 9 | 2014 |
| ARG-walker: inference of individual specific strengths of meiotic recombination hotspots by population genomics analysis H Chen, P Yang, J Guo, CK Kwoh, TM Przytycka, J Zheng BMC genomics 16, 1-10, 2015 | 6 | 2015 |
| A hybrid strategy for comprehensive annotation of the protein coding genes in prokaryotic genome JF Yu, J Guo, QB Liu, Y Hou, K Xiao, QL Chen, JH Wang, X Sun Genes & Genomics 37, 347-355, 2015 | 3 | 2015 |
| LDSplitDB: a database for studies of meiotic recombination hotspots in MHC using human genomic data J Guo, H Chen, P Yang, YT Lee, M Wu, TM Przytycka, CK Kwoh, J Zheng BMC Medical Genomics 11, 77-84, 2018 | 2 | 2018 |
| Analysis on electricigen genomes and metabolic networks J Guo, Y FU, B LIU, J MENG, K XIAO, D FU, X SUN, Z XU CHINESE JOURNAL OF APPLIED AND ENVIRONMENTAL BIOLOGY 18 (6), 1075-1084, 2012 | 1 | 2012 |
| ARG-walker: inference of individual specific strengths of meiotic recombination hotspots by population genomics analysis TM Przytycka, J Zheng, H Chen, P Yang, J Guo, CK Kwoh | | 2015 |
| LDsplit: screening for cis-regulatory motifs stimulating meiotic recombination hotspots by analysis of DNA sequence polymorphisms TM Przytycka, P Yang, M Wu, J Guo, CK Kwoh, J Zheng | | 2014 |
| Predicting DNA-Binding Residues of Proteins Using Random Forest and Evolutionary Information Combined with Conservation Information X Ma, J Guo, JS Wu, HD Liu, JM Xie, X Sun 2011 5th International Conference on Bioinformatics and Biomedical …, 2011 | | 2011 |
