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

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Bibliographic Details
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
Description
ISSN:2376-5992
DOI:10.7717/peerj-cs.492