Author

Cuichan Lin

Chinese University of Hong Kong

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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 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1

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Hon‐Cheong SoiD· 1 shared Kai ZhaoiD· 1 shared Pak Chung ShamiD· 1 shared Sen HuangiD· 1 shared Zhixiang LiniD· 1 shared

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2024-2024 · peak 1/yr

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1 shared paperBioinformatics

Hon‐Cheong SoORCID

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1 paper

Recent·Most cited

INSIDER: Interpretable Sparse Matrix Decomposition for Bulk RNA Expression Data Analysis

Kai Zhao, Sen Huang, Cuichan Lin, Pak Chung Sham, Hon‐Cheong So, Zhixiang Lin

INSIDER is a statistical framework for analyzing bulk RNA expression data that models interactions between biological variables and decomposes variation into a shared latent space to improve interpretation and downstream analysis.

PLoS Genetics · Mar 14, 2024Peer-reviewedBioinformatics