Analyzing RNA-Seq Gene Expression Data Using Deep Learning Approaches for Cancer Classification.
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| Title: | Analyzing RNA-Seq Gene Expression Data Using Deep Learning Approaches for Cancer Classification. |
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| Authors: | Rukhsar, Laiqa1, laiqarukhsar123@gmail.com, Bangyal, Waqas Haider1, waqas.haider@uog.edu.pk, Ali Khan, Muhammad Sadiq2, msakhan@uok.edu.pk, Ag Ibrahim, Ag Asri3, awgasri@ums.edu.mykashif@ums.edu.my, Nisar, Kashif3, Rawat, Danda B.4, db.rawat@ieee.org |
| Source: | Applied Sciences (2076-3417); Feb2022, Vol. 12 Issue 4, p1850, 17p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 155714548 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Analyzing RNA-Seq Gene Expression Data Using Deep Learning Approaches for Cancer Classification. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Rukhsar%2C+Laiqa%22">Rukhsar, Laiqa</searchLink><relatesTo>1</relatesTo>, <i>laiqarukhsar123@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Bangyal%2C+Waqas+Haider%22">Bangyal, Waqas Haider</searchLink><relatesTo>1</relatesTo>, <i>waqas.haider@uog.edu.pk</i><br /><searchLink fieldCode="AU" term="%22Ali+Khan%2C+Muhammad+Sadiq%22">Ali Khan, Muhammad Sadiq</searchLink><relatesTo>2</relatesTo>, <i>msakhan@uok.edu.pk</i><br /><searchLink fieldCode="AU" term="%22Ag+Ibrahim%2C+Ag+Asri%22">Ag Ibrahim, Ag Asri</searchLink><relatesTo>3</relatesTo>, <i>awgasri@ums.edu.mykashif@ums.edu.my</i><br /><searchLink fieldCode="AU" term="%22Nisar%2C+Kashif%22">Nisar, Kashif</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Rawat%2C+Danda+B%2E%22">Rawat, Danda B.</searchLink><relatesTo>4</relatesTo>, <i>db.rawat@ieee.org</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Feb2022, Vol. 12 Issue 4, p1850, 17p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=155714548 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app12041850 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1850 Titles: – TitleFull: Analyzing RNA-Seq Gene Expression Data Using Deep Learning Approaches for Cancer Classification. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rukhsar, Laiqa – PersonEntity: Name: NameFull: Bangyal, Waqas Haider – PersonEntity: Name: NameFull: Ali Khan, Muhammad Sadiq – PersonEntity: Name: NameFull: Ag Ibrahim, Ag Asri – PersonEntity: Name: NameFull: Nisar, Kashif – PersonEntity: Name: NameFull: Rawat, Danda B. IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 02 Text: Feb2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 12 – Type: issue Value: 4 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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