Author

Mingchen Gao

University at Buffalo, State University of New YorkORCID 0000-0002-5488-8514Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Lama Moukheiber· 1 shared Mira MoukheiberiD· 1 shared Ram SamudralaiD· 1 shared Saeed MalekiiD· 1 shared William MangioneiD· 1 shared Zackary FallsiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Lama Moukheiber

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1 paper

Recent·Most cited

Identifying Protein Features and Pathways Responsible for Toxicity using Machine learning, CANDO, and Tox21 datasets: Implications for Predictive Toxicology

Lama Moukheiber, William Mangione, Mira Moukheiber, Saeed Maleki, Zackary Falls, Mingchen Gao, Ram Samudrala

The paper uses machine learning on Tox21 data to identify protein features and pathways linked to compound toxicity, revealing biological mechanisms and cascading interactions.

Molecules · May 8, 2022Peer-reviewedBioinformatics