Improved funnel-gsea using adaptive elastic-net penalization method to identify significant gene sets
Gene set enrichment analysis (GSEA) is one of the methods in functional class scoring (FCS) categories for gene set analysis. GSEA is a popular method that was developed to identify, analyse and interpret set of genes or pathways from high-throughput transcriptomics experiments which are significant...
Saved in:
Main Author: | Mohd. Hasri, Nurul Nadzirah |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | http://eprints.utm.my/102997/1/NurulNadzirahMohdHasriMSC2021.pdf.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Using fuzzy logic to identify significant factors of negotiation performance
by: Tameur, Nachef
Published: (2013) -
Generation of rough set (RS) significant reducts and rules for cardiac dataset classification
by: Sulaiman, Noor Suhana
Published: (2007) -
Identifying cancer gene subtypes from gene expression by co-clustering algorithm and support vector machine
by: Machap, Logenthiran
Published: (2021) -
Adaptive hybrid segmentation model based on watershed and enhanced u-net for endothelial human cornea cells
by: Sami, Ahmed Saifullah
Published: (2021) -
Improving embedded linear elasticity in deformable models using stiffness matrix
by: Md Ali, Nor Azura
Published: (2015)