Conference
Machine Learning Approaches for Predicting Ovarian Cancer using Gene Expression Data
| Title: | Machine Learning Approaches for Predicting Ovarian Cancer using Gene Expression Data |
|---|---|
| Authors: | Subashini.R, Irfan, M., P.Poovitha, L.Jagapriya |
| Source: | 2026 6th International Conference on Inventive Computation and Information Technologies (ICICIT) Inventive Computation and Information Technologies (ICICIT), 2026 6th International Conference on. :880-885 Jul, 2026 |
| Relation: | 2026 6th International Conference on Inventive Computation and Information Technologies (ICICIT) |
| Database: | IEEE Xplore Digital Library |
| FullText | Text: Availability: 0 |
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| Header | DbId: edseee DbLabel: IEEE Xplore Digital Library An: edseee.11634143 RelevancyScore: 1161 AccessLevel: 2 PubType: Conference PubTypeId: conference PreciseRelevancyScore: 1160.63745117188 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.11634143 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/ICICIT69063.2026.11634143 PhysicalDescription: Pagination: PageCount: 6 StartPage: 880 Titles: – TitleFull: Machine Learning Approaches for Predicting Ovarian Cancer using Gene Expression Data Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Subashini.R – PersonEntity: Name: NameFull: Irfan, M. – PersonEntity: Name: NameFull: P.Poovitha – PersonEntity: Name: NameFull: L.Jagapriya IsPartOfRelationships: – BibEntity: Dates: – D: 06 M: 07 Type: published Y: 2026 Identifiers: – Type: isbn-print Value: 9798331550110 – Type: isbn-print Value: 9798331550103 – Type: isbn-print Value: 9798331550127 – Type: issn-locals Value: edseee.IEEEConferenc Titles: – TitleFull: 2026 6th International Conference on Inventive Computation and Information Technologies (ICICIT), Inventive Computation and Information Technologies (ICICIT), 2026 6th International Conference on Type: main |
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