Author

Siwei Xie

Carnegie Mellon UniversityPrimary ORCID profile (0009-0000-1602-2296 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Siwei XieiD1 paper · Chinese Academy of Sciences

Biology Disciplines

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Biochemistry· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:large language model· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Da HaniD· 1 shared Guangyong CheniD· 1 shared Hua Lu· 1 shared Jie HuiD· 1 shared Jiezhong QiuiD· 1 shared Jinling JiangiD· 1 shared Junchao ShiiD· 1 shared Lirong WangiD· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBiochemistry

Da HanORCID

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2 papers

Recent·Most cited

Enzyme Co-Scientist: Harnessing Large Language Models for Enzyme Kinetic Data Extraction from Literature

Jinling Jiang, Jie Hu, Siwei Xie, Meng-Hao Guo, Yuhang Dong, Shuai Fu, Xianyue Jiang, Zhenlei Yue, Junchao Shi, Xiaoyu Zhang, Minghui Song, Guangyong Chen, Hua Lu, Xindong Wu, Pei Guo, , Jiezhong Qiu

The paper presents an LLM-based workflow for extracting enzyme kinetic data from literature, achieving high accuracy and efficiency.

bioRxiv · Mar 3, 2025 · PreprintBiochemistry

A computational strategy for finding novel targets and therapeutic compounds for opioid dependence

Xiaojun Wu, Siwei Xie, Lirong Wang, Peihao Fan, Songwei Ge, Xiang‐Qun Xie, Wei Wu

This paper develops a computational strategy to identify novel targets and therapeutic compounds for opioid dependence using time course gene expression data from mouse striatum.

PLoS ONE · Nov 7, 2018Peer-reviewedSystems Biology