Author

Curtis Tatsuoka

University of Maryland, Baltimore

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Bioinformatics· 1

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Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1

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Binbin Wang· 1 shared Wanru Guo· 1 shared

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2026-2026 · peak 1/yr

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Binbin Wang

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintNov 4, 2026

Layer-Specific Source-Anchored Transfer Learning for Multi-Omics Survival Prediction in Younger Breast Cancer Patients

Wanru Guo, Binbin Wang, Curtis Tatsuoka

This paper introduces LSAT-EN, a transfer learning method that improves survival prediction for younger breast cancer patients using multi-omics data from older patients.

DOI 10.64898/2026.11.01.763494

humanbulk RNA-seq

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