SRIQ clustering: A fusion of Random Forest, QT clustering, and KNN concepts

SRIQ clustering: A fusion of Random Forest, QT clustering, and KNN concepts

Gene expression profiling together with unsupervised analysis methods, typically clustering methods, has been used extensively in cancer research to unravel, e.g., new molecular subtypes that hold promise of disease refinement that may ultimately benefit patients. However, many of the commonly used...

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Bibliographic Details
Main Authors: Jacob Karlström, Mattias Aine, Johan Staaf, Srinivas Veerla
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Lung adenocarcinoma
Clustering
Molecular subtypes
Gene expression
Random Forest
QT clustering
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037022001118

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http://www.sciencedirect.com/science/article/pii/S2001037022001118

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