Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma.
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| Title: | Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma. |
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| Authors: | Suita, Yusuke1 (AUTHOR), Bright Jr, Hardy2 (AUTHOR), Pu, Yuan3 (AUTHOR), Toruner, Merih Deniz1,3 (AUTHOR), Idehen, Jordan4 (AUTHOR), Tapinos, Nikos1,5 (AUTHOR) nikos_tapinos@brown.edu, Singh, Ritambhara3,4 (AUTHOR) ritambhara@brown.edu |
| Source: | PLoS Computational Biology. 8/7/2025, Vol. 21 Issue 8, p1-22. 22p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 187213656 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=187213656 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pcbi.1012272 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 1 Titles: – TitleFull: Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Suita, Yusuke – PersonEntity: Name: NameFull: Bright Jr, Hardy – PersonEntity: Name: NameFull: Pu, Yuan – PersonEntity: Name: NameFull: Toruner, Merih Deniz – PersonEntity: Name: NameFull: Idehen, Jordan – PersonEntity: Name: NameFull: Tapinos, Nikos – PersonEntity: Name: NameFull: Singh, Ritambhara IsPartOfRelationships: – BibEntity: Dates: – D: 07 M: 08 Text: 8/7/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 1553734X Numbering: – Type: volume Value: 21 – Type: issue Value: 8 Titles: – TitleFull: PLoS Computational Biology Type: main |
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