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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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Universitas Ahmad Dahlan
2019
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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 |