Author

O. O. Bifarin

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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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Approach:machine learning (classical)· 2 Assay:metabolomics· 2 Organism:human· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

D. A. Gaul· 2 shared F. O. Fernandez· 2 shared J. Kim· 2 shared S. G. Moore· 2 shared S. Sah· 2 shared C.-H. Cho· 1 shared H. Cho· 1 shared H. Chung· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersCancer Biology

D. A. Gaul

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2 papers

Recent·Most cited

Serum Lipidome Profiling Reveals a Distinct Signature of Ovarian Cancer in Korean Women

S. Sah, O. O. Bifarin, S. G. Moore, D. A. Gaul, H. Chung, H. Cho, C.-H. Cho, J.-H. Kim, J. Kim, F. O. Fernandez

This study identifies a distinct lipidome signature in Korean women with ovarian cancer, showing early-stage alterations and a predictive panel of 17 lipids with 85% accuracy.

bioRxiv · Oct 5, 2023Cancer Biology

Machine Learning Reveals Lipidome Remodeling Dynamics in a Mouse Model of Ovarian Cancer

O. O. Bifarin, S. Sah, D. A. Gaul, S. G. Moore, R. Chen, M. Palaniappan, J. Kim, M. M. Matzuk, F. O. Fernandez

This study uses machine learning to analyze lipidome changes in a mouse model of ovarian cancer, identifying early and late-stage lipid alterations associated with cancer progression.

bioRxiv · Jan 4, 2023 · PreprintCancer Biology