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...
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: | |
Online Access: | https://doi.org/10.1515/cdbme-2023-1171 |
Similar Items
-
The issue of prevalence of autism/asd
by: Kamil Özerk
Published: (2016-12-01) -
The Issue of Prevalence of Autism/ASD
by: Kamil ÖZERK
Published: (2016-12-01) -
Diagnostic classification of autism using resting-state fMRI data improves with full correlation functional brain connectivity compared to partial correlation
by: Agastinose Ronicko, Jac Fredo, et al.
Published: (2022) -
Atypical infant cries among incipient ASDs, developmentally delayed individuals, and language-impaired individuals
by: Esposito, Gianluca
Published: (2017) -
Sleep and Cognition in Children with Fetal Alcohol Spectrum Disorders (FASD) and Children with Autism Spectrum Disorders (ASD)
by: Rabya Mughal, et al.
Published: (2020-11-01)