Comparison of Methods for Feature Selection in Clustering of High-Dimensional RNA-Sequencing Data to Identify Cancer Subtypes

Comparison of Methods for Feature Selection in Clustering of High-Dimensional RNA-Sequencing Data to Identify Cancer Subtypes

Cancer subtype identification is important to facilitate cancer diagnosis and select effective treatments. Clustering of cancer patients based on high-dimensional RNA-sequencing data can be used to detect novel subtypes, but only a subset of the features (e.g., genes) contains information related to...

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Bibliographic Details
Main Authors: David Källberg, Linda Vidman, Patrik Rydén
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Genetics
Subjects:
feature selection
gene selection
RNA-seq
cancer subtypes
high-dimensional
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2021.632620/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2021.632620/full

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