Author

Siyin Lin

Sun Yat-sen University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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 Minfan He· 1 shared Yongzhong OuYang· 1 shared Yuedong YangiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Hua ChaiORCID

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1 paper

Recent·Most cited

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

Hua Chai, Siyin Lin, Minfan He, Yuedong Yang, Yongzhong OuYang, 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.

bioRxiv · Aug 25, 2022 · PreprintBioinformatics