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Journal of Theoretical Biology|July 12, 2014
Sequence-based predictor of ATP-binding residues using random forest and mRMR-IFS feature selectionXin Ma, Xiao SunBiomed Research International|November 7, 2015
Sequence-Based Prediction of RNA-Binding Proteins Using Random Forest with Minimum Redundancy Maximum Relevance Feature SelectionXin Ma, Jing Guo, Xiao SunJournal of Bioinformatics and Computational Biology|March 30, 2018
Prediction of microRNA-binding residues in protein using a Laplacian support vector machine based on sequence informationXin Ma, Jing Guo, Xiao SunPlos One|December 2, 2016
DNABP: Identification of DNA-Binding Proteins Based on Feature Selection Using a Random Forest and Predicting Binding ResiduesXin Ma, Jing Guo, Xiao SunIEEE/ACM Transactions on Computational Biology and Bioinformatics|December 17, 2015
PRBP: Prediction of RNA-Binding Proteins Using a Random Forest Algorithm Combined with an RNA-Binding Residue PredictorXin Ma, Jing Guo, Ke Xiao, et al.Genetic Epidemiology|October 30, 2013
Identifying rare variants with optimal depth of coverage and cost-effective overlapping pool sequencingChang-Chang Cao, Cheng Li, Zheng Huang, et al.Genomics|December 1, 2012
Quantitative analysis reveals increased histone modifications and a broad nucleosome-free region bound by histone acetylases in highly expressed genes in human CD4+ T cellsHongde Liu, Kun Luo, Hao Wen, et al.IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 8, 2012
Sequence-based prediction of DNA-binding residues in proteins with conservation and correlation informationXin Ma, Jing Guo, Hong-De Liu, et al.Proteins|January 27, 2011
Prediction of RNA-binding residues in proteins from primary sequence using an enriched random forest model with a novel hybrid featureXin Ma, Jing Guo, Jiansheng Wu, et al.Pageof 376