A comprehensive survey on computational learning methods for analysis of gene expression data

A comprehensive survey on computational learning methods for analysis of gene expression data

Computational analysis methods including machine learning have a significant impact in the fields of genomics and medicine. High-throughput gene expression analysis methods such as microarray technology and RNA sequencing produce enormous amounts of data. Traditionally, statistical methods are used...

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Bibliographic Details
Main Authors: Nikita Bhandari, Rahee Walambe, Ketan Kotecha, Satyajeet P. Khare
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Molecular Biosciences
Subjects:
gene expression
microarray
machine learning
deep learning
missing value imputation
feature selection
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2022.907150/full

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https://www.frontiersin.org/articles/10.3389/fmolb.2022.907150/full

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