Co-clustering algorithm for the identification of cancer subtypes from gene expression data

Cancer has been classified as a heterogeneous genetic disease comprising various different subtypes based on gene expression data. Early stages of diagnosis and prognosis for cancer type have become an essential requirement in cancer informatics research because it is helpful for the clinical treatm...

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Bibliographic Details
Main Authors: Machap Z.A.b, L., Abdullah, A., Shah, Z. A.
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2019
Subjects:
Online Access:http://eprints.utm.my/id/eprint/91378/1/LogenthiranMachap2019_CoclusteringAlgorithmfortheIdentification.pdf
http://eprints.utm.my/id/eprint/91378/
http://www.dx.doi.org/10.12928/TELKOMNIKA.V17I4.12773
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Institution: Universiti Teknologi Malaysia
Language: English