Author

Wenran Li

Chinese Academy of SciencesORCID 0000-0002-1712-6895Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:gene regulatory network inference· 2 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:GWAS / association mapping· 1 Assay:Hi-C· 1

Frequent Co-Authors

Chaoqi Liang· 1 shared Hong-Liang YaniD· 1 shared Jianle SuniD· 1 shared Lifeng Qiao· 1 shared Linxiao WangiD· 1 shared Nanqing DongiD· 1 shared Peng YeiD· 1 shared Peng ZhengiD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

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10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Chaoqi Liang

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 16, 2024

Genomics-FM: Universal Foundation Model for Versatile andData-Efficient Functional Genomic Analysis

Peng Ye, Weiqiang Bai, Yuchen Ren…·Wanli Ouyang

Genomics-FM is a foundation model that reduces reliance on labeled data and outperforms existing models in genome annotation, epigenomic prediction, and variant effect assessment.

1 citation

DNA methylationChIP-seq

𝕏 PostBluesky

BioinformaticsNucleic Acids ResearchPeer-reviewedFeb 28, 2019

DeepTACT: predicting high-resolution chromatin contacts via bootstrapping deep learning

Wenran Li, Wing Hung Wong, Rui Jiang

DeepTACT predicts high-resolution chromatin contacts using deep learning, improving resolution over existing methods and identifying hub promoters related to disease.

135 citationstop 2%

humanHi-C

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