Author

Wen-Jen Lin

China Medical UniversityORCID 0000-0001-9568-9178Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Research Focus:drug response / drug discovery· 2 Research Focus:gene regulatory network inference· 2 Assay:metabolomics· 2 Approach:statistical model· 2 Organism:mouse· 1

Frequent Co-Authors

Austin W.T. ChiangiD· 2 shared Chenguang Liang· 2 shared Nathan E. LewisiD· 2 shared Audrey LowiD· 1 shared Chia-Hsin LiuiD· 1 shared Evanston H. Zhou· 1 shared Joel Andrew MathewsiD· 1 shared Richard G. LeeiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersSystems Biology

Austin W.T. ChiangORCID

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2 papers

Recent·Most cited

iLipidome: enhancing statistical power and interpretability using hidden biosynthetic interdependencies in the lipidome

Wen-Jen Lin, Austin W.T. Chiang, Evanston H. Zhou, Chenguang Liang, Chia-Hsin Liu, Wen‐Lung Ma, Wei‐Chung Cheng, Nathan E. Lewis

iLipidome analyzes lipidomics data using biosynthetic networks to improve statistical power and interpretability, identifying genetic causes of lipid changes and potential therapeutic targets.

bioRxiv · May 16, 2024 · PreprintSystems Biology

LipidSIM: inferring mechanistic lipid biosynthesis perturbations from lipidomics with a flexible, low-parameter, systematic Markov Modeling framework

Chenguang Liang, Sue Murray, Yang Li, Richard G. Lee, Audrey Low, Shruti Sasaki, Austin W.T. Chiang, Wen-Jen Lin, Joel Andrew Mathews, Will Barnes, Nathan E. Lewis

LipidSIM infers lipid biosynthesis perturbations from lipidomics data using a low-parameter Markov model, demonstrating its utility in studying disease-related lipidome changes.

Metabolic Engineering · Mar 1, 2024Peer-reviewedBioinformatics