Author

Minfan He

Foshan University

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Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

Hua ChaiiD· 1 shared Huiying ZhaoiD· 1 shared Siyin Lin· 1 shared Yongzhong OuYang· 1 shared Yuedong YangiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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1 shared paperBioinformatics

Hua ChaiORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintAug 25, 2022

An uncertainty-based interpretable deep learning framework for breast cancer outcomes prediction

Hua Chai, Siyin Lin, Minfan He…·Huiying Zhao

This paper introduces UISNet, a deep learning framework for breast cancer outcomes prediction that improves accuracy and interpretability by integrating uncertainty-based gradients and biological knowledge.

DOI 10.1101/2022.08.25.505346

humanbulk RNA-seq