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Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 17, 2018
iRNA-2OM: A Sequence-Based Predictor for Identifying 2'-O-Methylation Sites in Homo sapiensHui Yang, Hao Lv, Hui Ding, et al.Genomics|May 19, 2016
Identifying 2'-O-methylationation sites by integrating nucleotide chemical properties and nucleotide compositionsWei Chen, Pengmian Feng, Hua Tang, et al.Analytical Biochemistry|September 12, 2018
iRNA(m6A)-PseDNC: Identifying NWei Chen, Hui Ding, Xu Zhou, et al.Data in Brief|March 10, 2016
Benchmark data for identifying N(6)-methyladenosine sites in the Saccharomyces cerevisiae genomeWei Chen, Pengmian Feng, Hui Ding, et al.Analytical Biochemistry|August 29, 2015
iRNA-Methyl: Identifying N(6)-methyladenosine sites using pseudo nucleotide compositionWei Chen, Pengmian Feng, Hui Ding, et al.Genomics|January 3, 2016
Using deformation energy to analyze nucleosome positioning in genomesWei Chen, Pengmian Feng, Hui Ding, et al.Oncotarget|March 5, 2016
iACP: a sequence-based tool for identifying anticancer peptidesWei Chen, Hui Ding, Pengmian Feng, et al.Journal of Theoretical Biology|October 26, 2010
Predicting ion channels and their types by the dipeptide mode of pseudo amino acid compositionHao Lin, Hui DingNucleic Acids Research|November 2, 2014
iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide compositionHao Lin, En-Ze Deng, Hui Ding, et al.Acta Biotheoretica|March 12, 2013
Using over-represented tetrapeptides to predict protein submitochondria locationsHao Lin, Wei Chen, Lu-Feng Yuan, et al.Pageof 2,751