M
Michael Q. Zhang
Researcher at Tsinghua University
Publications - 396
Citations - 46412
Michael Q. Zhang is an academic researcher from Tsinghua University. The author has contributed to research in topics: Gene & Chromatin. The author has an hindex of 93, co-authored 378 publications receiving 42008 citations. Previous affiliations of Michael Q. Zhang include Chinese Academy of Sciences & Peking Union Medical College Hospital.
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HPVMD-C: a disease-based mutation database of human papillomavirus in China
TL;DR: A Chinese HPV mutation database (HPVMD-C), which contains 149 HPV genotypes, 468 HPV mutations, 3409 protein sequences, 4727 domains and 236 epitopes is reported, which is expected to complement the existing database and provide valuable resources for HPV vaccine research and cervical cancer treatment.
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A novel method to identify topological domains using Hi-C data
TL;DR: A new method called Clustering based Hi-C Domain Finder (CHDF), which is based on the difference of interaction intensity inside/outside domains, is presented, which is potentially able to discover more hints and clues about chromatin structural elements at domain level.
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Transcription factor binding element detection using functional clustering of mutant expression data
TL;DR: A simple approach to detect the transcription-factor-binding motif using microarray expression data from a mutant in which the relevant transcription factor is deleted, and a core part of this approach is clustering of differentially expressed genes based on functional annotations, such as Gene Ontology.
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3D genome alterations associated with dysregulated HOXA13 expression in high-risk T-lineage acute lymphoblastic leukemia.
Lu Yang,Lu Yang,Fengling Chen,Haichuan Zhu,Haichuan Zhu,Haichuan Zhu,Yang Chen,Yang Chen,Bingjie Dong,Bingjie Dong,Minglei Shi,Weitao Wang,Weitao Wang,Qian Jiang,Le-Ping Zhang,Xiao-Jun Huang,Xiao-Jun Huang,Michael Q. Zhang,Michael Q. Zhang,Hong Wu,Hong Wu +20 more
TL;DR: In this article, the authors report integrated analyses of 3D genome alterations and differential gene expressions in 18 newly diagnosed T-lineage acute lymphoblastic leukemia (T-ALL) patients and 4 healthy controls.