GeneCompete: an integrative tool of a novel union algorithm with various ranking techniques for multiple gene expression data
Background Identifying the genes responsible for diseases requires precise prioritization of significant genes. Gene expression analysis enables differentiation between gene expressions in disease and normal samples. Increasing the number of high-quality samples enhances the strength of evidence reg...
Main Authors: | Panisa Janyasupab, Apichat Suratanee, Kitiporn Plaimas |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2023-11-01
|
Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-1686.pdf |
Similar Items
-
Gene Association Classification for Autism Spectrum Disorder: Leveraging Gene Embedding and Differential Gene Expression Profiles to Identify Disease-Related Genes
by: Apichat Suratanee, et al.
Published: (2023-08-01) -
Hybrid Deep Learning Based on a Heterogeneous Network Profile for Functional Annotations of <i>Plasmodium falciparum</i> Genes
by: Apichat Suratanee, et al.
Published: (2021-09-01) -
Identification of Salt-Sensitive and Salt-Tolerant Genes through Weighted Gene Co-Expression Networks across Multiple Datasets: A Centralization and Differential Correlation Analysis
by: Pajaree Sonsungsan, et al.
Published: (2024-02-01) -
ICON-GEMs: integration of co-expression network in genome-scale metabolic models, shedding light through systems biology
by: Thummarat Paklao, et al.
Published: (2023-12-01) -
Persistent Homology Identifies Pathways Associated with Hepatocellular Carcinoma from Peripheral Blood Samples
by: Muhammad Sirajo Abdullahi, et al.
Published: (2024-02-01)