CNN-Peaks: ChIP-Seq peak detection pipeline using convolutional neural networks that imitate human visual inspection.
Saved in:
| Title: | CNN-Peaks: ChIP-Seq peak detection pipeline using convolutional neural networks that imitate human visual inspection. |
|---|---|
| Authors: | Oh D; School of Computer Science and Engineering, Pusan National University, Busan, 46241, South Korea., Strattan JS; Department of Genetics, Stanford University, Stanford, 94305, USA., Hur JK; School of Medicine, Kyung Hee University, Seoul, 02447, South Korea., Bento J; Department of Computer Science, Boston College, Chestnut Hill, Philadelphia, MA, 02467, USA., Urban AE; Department of Genetics, Stanford University, Stanford, 94305, USA., Song G; School of Computer Science and Engineering, Pusan National University, Busan, 46241, South Korea. gsong@pusan.ac.kr., Cherry JM; Department of Genetics, Stanford University, Stanford, 94305, USA. |
| Source: | Scientific reports [Sci Rep] 2020 May 13; Vol. 10 (1), pp. 7933. Date of Electronic Publication: 2020 May 13. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 32404971 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: CNN-Peaks: ChIP-Seq peak detection pipeline using convolutional neural networks that imitate human visual inspection. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Oh+D%22">Oh D</searchLink>; School of Computer Science and Engineering, Pusan National University, Busan, 46241, South Korea.<br /><searchLink fieldCode="AU" term="%22Strattan+JS%22">Strattan JS</searchLink>; Department of Genetics, Stanford University, Stanford, 94305, USA.<br /><searchLink fieldCode="AU" term="%22Hur+JK%22">Hur JK</searchLink>; School of Medicine, Kyung Hee University, Seoul, 02447, South Korea.<br /><searchLink fieldCode="AU" term="%22Bento+J%22">Bento J</searchLink>; Department of Computer Science, Boston College, Chestnut Hill, Philadelphia, MA, 02467, USA.<br /><searchLink fieldCode="AU" term="%22Urban+AE%22">Urban AE</searchLink>; Department of Genetics, Stanford University, Stanford, 94305, USA.<br /><searchLink fieldCode="AU" term="%22Song+G%22">Song G</searchLink>; School of Computer Science and Engineering, Pusan National University, Busan, 46241, South Korea. gsong@pusan.ac.kr.<br /><searchLink fieldCode="AU" term="%22Cherry+JM%22">Cherry JM</searchLink>; Department of Genetics, Stanford University, Stanford, 94305, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2020 May 13; Vol. 10 (1), pp. 7933. <i>Date of Electronic Publication: </i>2020 May 13. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=32404971 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-020-64655-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 7933 Titles: – TitleFull: CNN-Peaks: ChIP-Seq peak detection pipeline using convolutional neural networks that imitate human visual inspection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Oh D – PersonEntity: Name: NameFull: Strattan JS – PersonEntity: Name: NameFull: Hur JK – PersonEntity: Name: NameFull: Bento J – PersonEntity: Name: NameFull: Urban AE – PersonEntity: Name: NameFull: Song G – PersonEntity: Name: NameFull: Cherry JM IsPartOfRelationships: – BibEntity: Dates: – D: 13 M: 05 Text: 2020 May 13 Type: published Y: 2020 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 10 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
| ResultId | 1 |