Detection of driver mutations and genomic signatures in endometrial cancers using artificial intelligence algorithms.
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| Title: | Detection of driver mutations and genomic signatures in endometrial cancers using artificial intelligence algorithms. |
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| Authors: | Stan A; Biology Program, The Ohio State University, Marion, Ohio, United States of America., Bosart K; Biology Program, The Ohio State University, Marion, Ohio, United States of America., Kaur M; Biology Program, The Ohio State University, Marion, Ohio, United States of America., Vo M; Biology Department, Xavier University, Cincinnati, Ohio, United States of America., Escorcia W; Biology Department, Xavier University, Cincinnati, Ohio, United States of America., Yoder RJ; Department of Chemistry and Biochemistry, The Ohio State University, Marion, Ohio, United States of America., Bouley RA; Department of Chemistry and Biochemistry, The Ohio State University, Marion, Ohio, United States of America., Petreaca RC; Department of Molecular Genetics, The Ohio State University, Marion, Ohio, United States of America.; James Comprehensive Cancer Center, The Ohio State University Columbus, Columbus, Ohio, United States of America. |
| Source: | PloS one [PLoS One] 2024 Feb 26; Vol. 19 (2), pp. e0299114. Date of Electronic Publication: 2024 Feb 26 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0299114 |
