Author

Wei Song

National Institutes of HealthORCID 0000-0002-8395-9991Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Wei Song3 papers · Beijing Institute of Technology

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Organism:human· 3 Assay:DNA methylation· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:database / resource· 1 Approach:deep learning· 1

Frequent Co-Authors

Ivan OvcharenkoiD· 2 shared Amy J. Swift· 1 shared Anna R. PanchenkoiD· 1 shared Cheng JiniD· 1 shared D. Leland TayloriD· 1 shared David LandsmaniD· 1 shared Dingfeng Zou· 1 shared Francis S. CollinsiD· 1 shared

Activity by Year

2023-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Ivan OvcharenkoORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Identification of quiescent FOXC2+ spermatogonial stem cells in adult mammals

Zhipeng Wang, Cheng Jin, Pengyu Li, Yiran Li, Jielin Tang, Zhixin Yu, Tao Jiao, Jinhuan Ou, Han Wang, Dingfeng Zou, Mengzhen Li, Xinyu Mang, Jun Liu, Yan Lü, Kai Li, , Wei Song

The paper identifies quiescent FOXC2+ spermatogonial stem cells in adult mammals and shows their critical role in maintaining spermatogenesis homeostasis and regeneration.

eLife · Aug 23, 2023Peer-reviewedDevelopmental Biology

Modeling islet enhancers using deep learning identifies candidate causal variants at loci associated with T2D and glycemic traits.

Sanjarbek Hudaiberdiev, D. Leland Taylor, Wei Song, Narisu Narisu, Redwan M. Bhuiyan, Henry J. Taylor, Xuming Tang, Tingfen Yan, Amy J. Swift, Lori L. Bonnycastle, Shuibing Chen, Michael L. Stitzel, Michael R. Erdos, Ivan Ovcharenko, Francis S. Collins

Proceedings of the National Academy of Sciences · Aug 21, 2023Peer-reviewedGenetic & Genomic Medicine

Detection of new pioneer transcription factors as cell-type specific nucleosome binders

Yunhui Peng, Wei Song, Vladimir B. Teif, Ivan Ovcharenko, David Landsman, Anna R. Panchenko

The paper develops a computational method to predict cell-type-specific nucleosome-binding abilities of transcription factors using ChIP-seq, MNase-seq, and DNase-seq data, identifying new potential pioneer transcription factors.

eLife · Jul 21, 2023Peer-reviewedBioinformatics