Comparing Pertubagens from Differential Gene Expression Data Analysis of ASD using Random Forest and Statistical Test

Comparing Pertubagens from Differential Gene Expression Data Analysis of ASD using Random Forest and Statistical Test

Differentially Expressed Genes (DEGs) are treated as candidate biomarkers, and a small set of DEGs might be identified as biomarkers using either biological knowledge or data-driven approaches like machine learning and statistical analysis. In this study, we used a combination of the machine learnin...

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Bibliographic Details
Main Authors: Sudharshan Ranga, Sinha Kshitij, Pragya, Manohari Balachander Gowri, Agastinose Ronickom Jac Fredo
Format: Article
Language:English
Published: De Gruyter 2023-09-01
Series:Current Directions in Biomedical Engineering
Subjects:
autism spectrum disorder
microarray data
random forest
statistical test
connectivitymap
Online Access:https://doi.org/10.1515/cdbme-2023-1171

Internet

https://doi.org/10.1515/cdbme-2023-1171

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