Author

Fangyoumin Feng

Chinese Academy of SciencesORCID 0000-0002-9730-0223Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Hong LiiD· 2 shared Bihan SheniD· 1 shared Guohui DingiD· 1 shared Kunshi Li· 1 shared Liangxiao MaiD· 1 shared Lijian HuiiD· 1 shared Xueliang LiiD· 1 shared Yixue LiiD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersCancer Biology

Hong LiORCID

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2 papers

Recent·Most cited

Dual-view jointly learning improves personalized drug synergy prediction

Xueliang Li, Bihan Shen, Fangyoumin Feng, Kunshi Li, Zhixuan Tang, Liangxiao Ma, Hong Li

This paper introduces JointSyn, a dual-view learning method for predicting drug synergy, showing improved accuracy and generalization across datasets.

Bioinformatics · Oct 1, 2024Peer-reviewedCancer Biology

Personalized anti-cancer drug combination prediction by an Integrated Multi-level Network

Fangyoumin Feng, Zhengtao Zhang, Guohui Ding, Lijian Hui, Yixue Li, Hong Li

DComboNet prioritizes effective anti-cancer drug combinations using a two-level network model, achieving high AUC performance and inferring potential combination mechanisms.

bioRxiv · May 12, 2020 · PreprintBioinformatics