Author

Fen Pei

University of PittsburghORCID 0000-0003-4278-8265Unclaimed ORCID profile · follow to get notified of new preprints

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Fen Pei1 paper

Biology Disciplines

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Systems Biology· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Organism:human· 2 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Approach:mixed model· 1

Frequent Co-Authors

İvet BahariD· 3 shared Bing LiuiD· 2 shared David H. PerlmutteriD· 1 shared Eric P. XingiD· 1 shared Gary A. SilvermaniD· 1 shared Haohan WangiD· 1 shared Hongchun LiiD· 1 shared Michael M. VanyukoviD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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3 shared papersSystems Biology

İvet BaharORCID

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3 papers

Recent·Most cited

GeneticsBMC BioinformaticsPeer-reviewedFeb 5, 2021

Coupled Mixed Model for Joint Genetic Analysis of Complex Disorders with Two Independently Collected Data Sets

Haohan Wang, Fen Pei, Michael M. Vanyukov…·Eric P. Xing

This paper introduces a method to jointly analyze two independent GWAS datasets with different phenotypes, addressing confounding factors and showing its utility in studying Alzheimer's disease and substance use disorder.

10 citations

humanGWAS summary statistics

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Systems BiologyInternational Journal of Molecular SciencesPeer-reviewedApr 19, 2020

Mechanisms of Action of Autophagy Modulators Dissected by Quantitative Systems Pharmacology Analysis

Qingya Shi, Fen Pei, Gary A. Silverman…·İvet Bahar

The paper performs a quantitative systems pharmacology analysis of 225 autophagy modulators to uncover their molecular mechanisms and regulatory pathways.

32 citations

statistical modelbenchmarking

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Systems BiologyFrontiers in PharmacologyPeer-reviewedMar 7, 2019

Quantitative systems pharmacological analysis of drugs of abuse reveals the pleiotropy of their targets and the effector role of mTORC1

Fen Pei, Hongchun Li, Bing Liu, İvet Bahar

The paper uses quantitative systems pharmacology to analyze 50 drugs of abuse, identifying new targets and pathways, with mTORC1 highlighted as a key effector in neuronal restructuring.

10 citations

humanproteomics

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