Author

Layth Kakish

University of Michigan

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:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

Aaron M. RobidaiD· 1 shared Annie J Badenoch· 1 shared Bretton BadenochiD· 1 shared C.Sriram C.SriramiD· 1 shared Carolina H. ChungiD· 1 shared Jiahe LiiD· 1 shared Ritish Natesan· 1 shared Zeyang PangiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Aaron M. RobidaORCID

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Author profile →

1 paper

Recent·Most cited

Modeling Microbiome Modulation of Tumor Metabolic Networks to Predict Synergistic Therapies

Annie J Badenoch, Zeyang Pang, Carolina H. Chung, Aaron M. Robida, Bretton Badenoch, Ritish Natesan, Layth Kakish, Jiahe Li, C.Sriram C.Sriram

This paper develops a framework combining machine learning and metabolic modeling to predict synergistic cancer therapies influenced by microbiome composition in colorectal cancer.

Cell Reports Methods · Aug 13, 2026Peer-reviewedBioinformatics