Author

Xin Yan

The University of Tokyo

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

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Biology Disciplines

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Bioinformatics· 1 Biophysics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:differential expression· 1 Organism:Drosophila· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Chengcheng ShiiD· 1 shared Goshi OgitaiD· 1 shared Jihua ShiiD· 1 shared Kaoru SugimuraiD· 1 shared Lei WangiD· 1 shared Liping LiiD· 1 shared Nuo ChengiD· 1 shared Shuijun ZhangiD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperGenomics

Chengcheng ShiORCID

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3 papers

Recent·Most cited

Bayesian parameter inference for epithelial mechanics

Xin Yan, Goshi Ogita, Shuji Ishihara, Kaoru Sugimura

This study improves parameter estimation in epithelial mechanics models using Bayesian statistics, showing accurate results on synthetic data and revealing the dispensability of cortical elasticity in vivo.

Journal of Theoretical Biology · Oct 10, 2024Peer-reviewedBiophysics

Protective effect of peroxisome proliferator-activated receptor- in regulating the early inflammation response to extended hepatectomy from a comparative transcriptomic analysis

Chengcheng Shi, Yang Bai, Xin Yan, Nuo Cheng, Wen-Zhi Guo, Shuijun Zhang, Jihua Shi

The paper identifies PPAR as a potential therapeutic target for small-for-size syndrome by analyzing transcriptomic changes after extended hepatectomy in rats.

bioRxiv · Dec 12, 2021 · PreprintGenomics

RFDTI: Using Rotation Forest with Feature Weighted for Drug-Target Interaction Prediction from Drug Molecular Structure and Protein Sequence

Lei Wang, Zhu‐Hong You, Liping Li, Xin Yan

RFDTI predicts drug-target interactions using a feature-weighted Rotation Forest classifier, achieving high accuracy on benchmark datasets and validating novel interactions with databases.

bioRxiv · Jan 6, 2020 · PreprintBioinformatics