A hierarchical clustering approach for colorectal cancer molecular subtypes identification from gene expression data

A hierarchical clustering approach for colorectal cancer molecular subtypes identification from gene expression data

Background: Colorectal cancer (CRC) is the second leading cause of cancer fatalities and the third most common human disease. Identifying molecular subgroups of CRC and treating patients accordingly could result in better therapeutic success compared with treating all CRC patients similarly. Studies...

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Bibliographic Details
Main Authors: Shivangi Raghav, Aastha Suri, Deepika Kumar, Aakansha Aakansha, Muskan Rathore, Sudipta Roy
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Intelligent Medicine
Subjects:
Machine learning
Colorectal cancer
Feature selection
Classification
Clustering
Online Access:http://www.sciencedirect.com/science/article/pii/S2667102623000396

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http://www.sciencedirect.com/science/article/pii/S2667102623000396

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