New Paradigm of Machine Learning (ML) in Personalized Oncology: Data Trimming for Squeezing More Biomarkers From Clinical Datasets
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2019-07-01
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| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/article/10.3389/fonc.2019.00658/full |
| _version_ | 1819065945393463296 |
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| author | Nicolas Borisov Anton Buzdin Anton Buzdin Anton Buzdin |
| author_facet | Nicolas Borisov Anton Buzdin Anton Buzdin Anton Buzdin |
| author_sort | Nicolas Borisov |
| collection | DOAJ |
| first_indexed | 2024-12-21T15:54:31Z |
| format | Article |
| id | doaj.art-0a91c0007ab2461fbc031bdc18ea9d87 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-21T15:54:31Z |
| publishDate | 2019-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-0a91c0007ab2461fbc031bdc18ea9d872022-12-21T18:58:07ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2019-07-01910.3389/fonc.2019.00658473986New Paradigm of Machine Learning (ML) in Personalized Oncology: Data Trimming for Squeezing More Biomarkers From Clinical DatasetsNicolas Borisov0Anton Buzdin1Anton Buzdin2Anton Buzdin3Department of Personalized Medicine, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, RussiaDepartment of Personalized Medicine, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, RussiaDepartment of Genomics and Postgenomic Technologies, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, RussiaDepartment of Bioinformatics and Molecular Networks, OmicsWay Corporation, Walnut, CA, United Stateshttps://www.frontiersin.org/article/10.3389/fonc.2019.00658/fullbioinformaticspersonalized medicineoncologyP vs. N problemmachine learning |
| spellingShingle | Nicolas Borisov Anton Buzdin Anton Buzdin Anton Buzdin New Paradigm of Machine Learning (ML) in Personalized Oncology: Data Trimming for Squeezing More Biomarkers From Clinical Datasets Frontiers in Oncology bioinformatics personalized medicine oncology P vs. N problem machine learning |
| title | New Paradigm of Machine Learning (ML) in Personalized Oncology: Data Trimming for Squeezing More Biomarkers From Clinical Datasets |
| title_full | New Paradigm of Machine Learning (ML) in Personalized Oncology: Data Trimming for Squeezing More Biomarkers From Clinical Datasets |
| title_fullStr | New Paradigm of Machine Learning (ML) in Personalized Oncology: Data Trimming for Squeezing More Biomarkers From Clinical Datasets |
| title_full_unstemmed | New Paradigm of Machine Learning (ML) in Personalized Oncology: Data Trimming for Squeezing More Biomarkers From Clinical Datasets |
| title_short | New Paradigm of Machine Learning (ML) in Personalized Oncology: Data Trimming for Squeezing More Biomarkers From Clinical Datasets |
| title_sort | new paradigm of machine learning ml in personalized oncology data trimming for squeezing more biomarkers from clinical datasets |
| topic | bioinformatics personalized medicine oncology P vs. N problem machine learning |
| url | https://www.frontiersin.org/article/10.3389/fonc.2019.00658/full |
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