News
10/2024 Dr. Liu presented “Building knowledge graphs towards transparent biomedical AI” at NIH/NIDDK AI in Precision Medicine Workshop link
08/2024 Dr. Liu received Endowment for the Basic Sciences Teaching Award 2024. link
08/2024 Yicheng Tao’s CNTools work was published on PLoS CB.
04/2024 Shuze’s work was published on Developmental Cell. link
03/2024 The Liu Lab is a part of the new NIDDK project PanKbase. link
12/2023 Our collaborative work got published on Nature. link
12/2023 Congratulations to Fan who successfully defended his PhD thesis and will join Vanderbilt University Medical Center as a research fellow! link
05/2023 Our paper titled “A generalizable framework to comprehensively predict epigenome, chromatin organization, and transcriptome” was accepted for publication on Nucleic Acids Research. Congratulations to Zhenhao and the rest of the team!
04/2023 Congratulations to Shuze who successfully defended her PhD thesis and will join Massachusetts General Hospital as a staff scientist!
11/2022 Our paper titled “GenomicKB: a knowledge graph for the human genome” was accepted for publication on Nucleic Acids Research. Congratulations to Fan and the rest of the team!
06/2022 Our paper titled “NucleoMap: a computational tool for identifying nucleosomes in ultra-high resolution contact maps” was accepted for publication on PLOS Computational Biology. Congratulations to Yuanhao and Bingjiang!
05/2022 Our paper titled “Characterizing collaborative transcription regulation with a graph-based deep learning approach” was accepted for publication on PLOS Computational Biology. Congratulations to Zhenhao and Fan!
04/2022 Our paper titled “Connecting high-resolution 3D chromatin organization with epigenomics” is published on Nature Communications. Congratulations to Fan, Yuan, David and Xiaotian!
10/2021 Our collaborative work with Dr. Xiaotian Zhang “3’HS1 CTCF binding site in human β-globin locus regulates fetal hemoglobin expression” is published on eLife.
09/2021 Together with Dr. Welch, I will teach a new course BIOINF593/EECS598-011 Machine Learning in Computational Biology.
08/2021 Together with Lana, Josh and Smita, we organized a workshop on machine-learning methods for single-cell analysis (https://sites.google.com/view/new-trends-in-single-cell-geno/home)
07/2021 Three graduate students Linghua Jiang, Zheyu Zhang, and Yicheng Tao joined the lab.
04/2021 scHiCTools paper was accepted for publication in PLOS Computational Biology. Congratulations to Xinjun, Fan, Hongxi and Wai Yan.
04/2021 Shuze Wang’s work was published on Genome Research
03/2021 Sean Moran decided to join the lab after his rotation. Welcome, Sean!
10/2020 Zhenhao Zhang joined the lab and entered BIOINFO PhD program after finishing his master of IOE. Welcome, Zhenhao!
09/2020 Liu Lab received the NHGRI Innovator Award (R35) to develop deep learning approaches to understand the relationship between chromatin state features and chromatin organization.
09/2020 Liu Lab received NIH Pilot Projects Enhancing Utility and Usage of Common Fund Data Sets Award (R03) to build a database for high-resolution chromatin contact maps and human genetic variants.
08/2020 Congratulations to Yuanhao who passed his prelim exam.
04/2020 Congratulations to past trainees, Yufeng Zhang, Mingyu Du, Yujuan Fu, Zheyu Zhang and Yijiao Qin, who were admitted to competitive graduate programs in U-M, UC-Irvine, UW, Georgia Tech, CMU.
12/2019 Congratulations to Fan and Shuze who passed their prelim exams.
11/2019 Jie formally joined 4DN Consortium as an associate member.
09/2019 Master student, Yuanhao Huang, joined the lab and transferred to DCMB PhD program.
05/2019 Two DCMB PhD students, Fan Feng and Shuze Wang, joined the lab.
01/2019 Liu Lab officially started in the Department of Computational Medicine and Bioinformatics at the University of Michigan.