A clustering approach for identification of enriched domains from histone modification ChIP-Seq data. - Chongzhi Zang; Dustin E. Schones; Chen Zeng; Kairong Cui; Keji Zhao; Weiqun Peng (Bioinform., 2009)

ChiLin: a comprehensive ChIP-seq and DNase-seq quality control and analysis pipeline. - Qian Qin; Shenglin Mei; Qiu Wu; Hanfei Sun; Lewyn Li; Len Taing; Sujun Chen; Fugen Li; Tao Liu 022; Chongzhi Zang; Han Xu; Yiwen Chen; et al. (BMC Bioinform., 2016)

Cistrome Data Browser: a data portal for ChIP-Seq and chromatin accessibility data in human and mouse. - Shenglin Mei; Qian Qin; Qiu Wu; Hanfei Sun; Rongbin Zheng; Chongzhi Zang; Muyuan Zhu; Jiaxin Wu; Xiaohui Shi; Len Taing; Tao Liu 022; Myles Brown; et al. (Nucleic Acids Res., 2017)

BART: a transcription factor prediction tool with query gene sets or epigenomic profiles. - Zhenjia Wang; Mete Civelek; Clint L. Miller; Nathan C. Sheffield; Michael J. Guertin; Chongzhi Zang (Bioinform., 2018)

Analysis of Meta-Learning Approaches for TCGA Pan-cancer Datasets. - Jingyuan Chou; Stefan Bekiranov; Chongzhi Zang; Mengdi Huai; Aidong Zhang (BIBM, 2020)

YY1 is a cis-regulator in the organoid models of high mammographic density. - Qingsu Cheng; Mina Khoshdeli; Bradley S. Ferguson; Kosar Jabbari; Chongzhi Zang; Bahram Parvin (Bioinform., 2020)

RECOGNICER: A coarse-graining approach for identifying broad domains from ChIP-seq data. - Chongzhi Zang; Yiren Wang; Weiqun Peng (Quant. Biol., 2020)

BART3D: inferring transcriptional regulators associated with differential chromatin interactions from Hi-C data. - Zhenjia Wang; Yifan Zhang; Chongzhi Zang (Bioinform., 2021)

Interpretable meta-learning of multi-omics data for survival analysis and pathway enrichment. - Hyun Jae Cho; Mia Shu; Stefan Bekiranov; Chongzhi Zang; Aidong Zhang (Bioinform., 2023)