Algorithm-driven computational biology
Methods for open chromatin, enhancers, and 3D genome structure, including CharID, CharPlant, UniChrom, ETNet, TransSE, and CT-TADB.
Research details ->Shen Lab is based in the School of Biomedical Engineering at Anhui Medical University. We develop interpretable deep-learning methods and open-source software for 3D chromatin architecture, enhancer biology, open chromatin, and biomedical data analysis.
We combine deep learning with biomedical knowledge to build methods and software for real scientific questions.
Methods for open chromatin, enhancers, and 3D genome structure, including CharID, CharPlant, UniChrom, ETNet, TransSE, and CT-TADB.
Research details ->Code for peer-reviewed methods is released on GitHub so collaborators can reproduce analyses and extend the tools.
Browse software ->We welcome motivated undergraduate and graduate students in computational biology, intelligent medicine, and data science.
Join us ->Recent work in chromatin regulation and computational biology. Neuroscience multi-omics papers appear only on the Publications page.
Predicts TAD boundaries without Hi-C by integrating DNA sequence and epigenomic features.
A universal deep-learning architecture for cross-scale chromatin interaction prediction.
An interpretable transformer framework for enhancer-enhancer interaction prediction with cross-context transferability.
Transfer learning to distinguish super-enhancers from typical enhancers across biological contexts.
GitHub repositories associated with peer-reviewed articles only.
Dr. Yin Shen received his Ph.D. from Huazhong Agricultural University and is currently an Associate Professor in the Department of Biomedical Information Engineering, School of Biomedical Engineering, Anhui Medical University. His research focuses on deep-learning algorithms, computational biology, and biomedical big-data analysis.
He has published more than 10 SCI papers in venues including Science Advances, Briefings in Bioinformatics, Genomics, Proteomics and Bioinformatics, BMC Genomics, npj Systems Biology and Applications, and IEEE Transactions on Computational Biology and Bioinformatics, and is PI of an NSFC Youth Science Fund project.
Education, appointments and recruitment