Guo Jing
Guo Jing
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TitleCited byYear
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
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, 2015
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 (6 …, 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, 2014
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, 2015
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
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 (TCBB) 11 …, 2014
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
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
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
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
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
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
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 (S12), S1, 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 (4), 347-355, 2015
Analysis on electricigen genomes and metabolic networks
郭静, 徐自祥, 付亚星, 刘碧芸, 孟静, 肖可, 付德刚, 孙啸
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
Bioinformatics and Biomedical Engineering,(iCBBE) 2011 5th International …, 2011
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