Support Vector Machine for Prediction of DNA-Binding Domains in Protein-DNA Complexes. - Jiansheng Wu; Hongtao Wu; Hongde Liu 001; Haoyan Zhou; Xiao Sun 006 (LSMS (2), 2007)

SVM-Based Approach for Predicting DNA-Binding Residues in Proteins from Amino Acid Sequences. - Xin Ma 003; Jiansheng Wu; Hongde Liu 001; Xinan Yang; Jianming Xie; Xiao Sun 006 (IJCBS, 2009)

Prediction of DNA-binding residues in proteins from amino acid sequences using a random forest model with a hybrid feature. - Jiansheng Wu; Hongde Liu 001; Xueye Duan; Yan Ding; Hongtao Wu; Yunfei Bai; Xiao Sun 006 (Bioinform., 2009)

Nucleosomes Are Well Positioned at Both Ends of Exons. - Hongde Liu 001; Xiao Sun 006 (LSMS/ICSEE, 2010)

Role of 10-11 bp periodicities of eukaryotic DNA sequence in nucleosome positioning. - Hongde Liu 001; Shuhai Lin; Zongwei Cai; Xiao Sun 006 (Biosyst., 2011)

Next-generation sequencing data processing: Analysis of unmapped reads and extremely high mapped peaks. - Jiao Chen; ZuoLei Dai; Chang-Chang Cao; Qianqian Zhang; Hongde Liu 001; Xiao Sun 006 (BMEI, 2012)

Nucleosome organization in sequences of alternative events in human genome. - Huan Huang; Shuangxin Yu; Hongde Liu 001; Xiao Sun 006 (Biosyst., 2012)

Sequence-Based Prediction of DNA-Binding Residues in Proteins with Conservation and Correlation Information. - Xin Ma 003; Jing Guo; Hongde Liu 001; Jianming Xie; Xiao Sun 006 (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Histone modifications influence skipped exons inclusion. - Yue Hou; Huan Huang; Wenqiao Hu; Hongde Liu 001; Xiao Sun 006 (J. Bioinform. Comput. Biol., 2017)

Nucleosome Positioning of Intronless Genes in the Human Genome. - Xiangfei Cheng; Yue Hou; Yumin Nie; Yiru Zhang; Huan Huang; Hongde Liu 001; Xiao Sun 006 (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

DNMHMM: An approach to identify the differential nucleosome regions in multiple cell types based on a Hidden Markov Model. - Jiahao Xie; Yiran Cai; Huamei Li; Jiahui Wu; Xinlei Zhao; Kun Luo; Amit Sharma; Jianming Xie; Xiao Sun 006; Hongde Liu 001 (Biosyst., 2019)

DeepSSV: detecting somatic small variants in paired tumor and normal sequencing data with convolutional neural network. - Jing Meng; Brandon Victor; Zhen He 002; Hongde Liu 001; Taijiao Jiang (Briefings Bioinform., 2021)

Predicting hormone receptors and PAM50 subtypes of breast cancer from multi-scale lesion images of DCE-MRI with transfer learning technique. - Wenlong Ming; Fuyu Li; Yanhui Zhu; Yunfei Bai; Wanjun Gu; Yun Liu 020; Xiao Sun 006; Xiaoan Liu; Hongde Liu 001 (Comput. Biol. Medicine, 2022)

scAnno: a deconvolution strategy-based automatic cell type annotation tool for single-cell RNA-sequencing data sets. - Hongjia Liu; Huamei Li; Amit Sharma; Wenjuan Huang; Duo Pan; Yu Gu; Lu Lin; Xiao Sun 006; Hongde Liu 001 (Briefings Bioinform., 2023)