Author

Lama Moukheiber

University at Buffalo, State University of New York

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

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

Mingchen GaoiD· 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

Mingchen GaoORCID

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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