Author

Fei Xiao

Soochow UniversityORCID 0000-0001-5262-2475Unclaimed ORCID profile · follow to get notified of new preprints

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Fei Xiao2 papers · Army Medical University

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:machine learning (classical)· 2 Research Focus:gene regulatory network inference· 1 Assay:protein structure· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Gennady M. VerkhivkeriD· 2 shared Guang HuiD· 2 shared Jingran WangiD· 2 shared Miao YangiD· 2 shared Chang Fu ZongiD· 1 shared Wentian LiiD· 1 shared Ziyun ZhouiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Gennady M. VerkhivkerORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 16, 2025

Decoding Mechanisms of PTEN Missense Mutations in Cancer and Autism Spectrum Disorder using Interpretable Machine Learning Approaches

Miao Yang, Jingran Wang, Ziyun Zhou…·Guang Hu

This study uses interpretable machine learning and structural dynamics to analyze PTEN mutations linked to cancer and autism, revealing shared molecular mechanisms.

1 citation

humanprotein structure

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BioinformaticsbioRxivPreprintJan 6, 2025

protPheMut: An Interpretable Machine Learning Tool for Classification of Cancer and Neurodevelopmental Disorders in Human Missense Variants

Jingran Wang, Miao Yang, Chang Fu Zong…·Guang Hu

protPheMut predicts cancer and neurodevelopmental disorder phenotypes from missense variants using interpretable machine learning, achieving high accuracy in PI3K and PTEN mutation analysis.

DOI 10.1101/2025.01.06.631365

humanwhole-exome sequencing

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