Author

Shan‐Ju Yeh

National Tsing Hua UniversityORCID 0000-0001-7006-6396Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:imputation· 1

Frequent Co-Authors

Bin CheniD· 2 shared Ruoqiao CheniD· 2 shared Haiyan HuangiD· 1 shared Jiayu ZhouiD· 1 shared Jing XingiD· 1 shared Ke LiuiD· 1 shared Mengying SuniD· 1 shared Shreya PaithankariD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

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10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Bin ChenORCID

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2 papers

Recent·Most cited

BioinformaticsBriefings in BioinformaticsPeer-reviewedMay 1, 2025

Large-Scale Information Retrieval and Correction of Noisy Pharmacogenomic Datasets through Residual Thresholded Deep Matrix Factorization

Zhiyue Tom Hu, Yaodong Yu, Ruoqiao Chen…·Haiyan Huang

This paper introduces RT-DMF, a deep learning framework to correct noise and impute missing values in pharmacogenomic datasets, improving downstream analysis.

2 citations

deep learningimputation

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BioinformaticsbioRxivPreprintMay 19, 2022

TransCell: In silico characterization of genomic landscape and cellular responses from gene expressions through a two-step deep transfer learning

Shan‐Ju Yeh, Shreya Paithankar, Ruoqiao Chen…·Bin Chen

TransCell predicts genomic and cellular responses from gene expression using transfer learning, achieving strong performance in drug sensitivity and gene effect score prediction.

DOI 10.1101/2022.05.19.492662

humanbulk RNA-seq

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