A novel deep autoencoder based survival analysis approach for microarray dataset.

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Title: A novel deep autoencoder based survival analysis approach for microarray dataset.
Authors: Torkey H; Computer Science & Engineering Department, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Atlam M; Computer Science & Engineering Department, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., El-Fishawy N; Computer Science & Engineering Department, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Salem H; Faculty of Engineering, Delta University for Science and Technology, Gamasa, Egypt.
Source: PeerJ. Computer science [PeerJ Comput Sci] 2021 Apr 21; Vol. 7, pp. e492. Date of Electronic Publication: 2021 Apr 21 (Print Publication: 2021).
Publication Type: Journal Article
Journal Info: Publisher: PeerJ Inc Country of Publication: United States NLM ID: 101660598 Publication Model: eCollection Cited Medium: Internet ISSN: 2376-5992 (Electronic) Linking ISSN: 23765992 NLM ISO Abbreviation: PeerJ Comput Sci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: A novel deep autoencoder based survival analysis approach for microarray dataset.
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  Data: <searchLink fieldCode="AU" term="%22Torkey+H%22">Torkey H</searchLink>; Computer Science & Engineering Department, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.<br /><searchLink fieldCode="AU" term="%22Atlam+M%22">Atlam M</searchLink>; Computer Science & Engineering Department, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.<br /><searchLink fieldCode="AU" term="%22El-Fishawy+N%22">El-Fishawy N</searchLink>; Computer Science & Engineering Department, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.<br /><searchLink fieldCode="AU" term="%22Salem+H%22">Salem H</searchLink>; Faculty of Engineering, Delta University for Science and Technology, Gamasa, Egypt.
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  Data: <searchLink fieldCode="JN" term="%22101660598%22">PeerJ. Computer science</searchLink> [PeerJ Comput Sci] 2021 Apr 21; Vol. 7, pp. e492. <i>Date of Electronic Publication: </i>2021 Apr 21 (<i>Print Publication: </i>2021).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22PeerJ+Inc%22">PeerJ Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101660598 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2376-5992 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223765992%22">23765992 </searchLink><i>NLM ISO Abbreviation: </i>PeerJ Comput Sci <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=33981841
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.7717/peerj-cs.492
    Languages:
      – Code: eng
        Text: English
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        StartPage: e492
    Titles:
      – TitleFull: A novel deep autoencoder based survival analysis approach for microarray dataset.
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            NameFull: Torkey H
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            NameFull: Atlam M
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            NameFull: El-Fishawy N
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            NameFull: Salem H
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          Dates:
            – D: 21
              M: 04
              Text: 2021 Apr 21
              Type: published
              Y: 2021
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              Value: 7
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