Author

Fanghong Dong

Tsinghua UniversityPrimary ORCID profile (0000-0001-6696-5196 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Fanghong DongiD1 paper · Washington University in St. Louis

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:ChIP-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Chen ZhangiD· 1 shared Jianyang ZengiD· 1 shared Sai ZhangiD· 1 shared Shuya LiiD· 1 shared Tao JiangiD· 1 shared Xiao LiuiD· 1 shared Yuexin WuiD· 1 shared

Activity by Year

2017-2017 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Chen ZhangORCID

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1 paper

Recent·Most cited

A Deep Boosting Based Approach for Capturing the Sequence Binding Preferences of RNA-Binding Proteins from High-Throughput CLIP-Seq Data

Shuya Li, Fanghong Dong, Yuexin Wu, Sai Zhang, Chen Zhang, Xiao Liu, Tao Jiang, Jianyang Zeng

DeBooster improves RBP target prediction from CLIP-seq data by reducing false positives and negatives, and enables new biological insights into RBP functions.

Nucleic Acids Research · May 23, 2017Peer-reviewedBioinformatics