Skip to content

philsaurabh/Cancer-gene-expression-analysis

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
Comparison Table.docx
Comparison Table.docx
 
 
DLBCL Feature Selection Task A.ipynb
DLBCL Feature Selection Task A.ipynb
 
 
DLBCL Feature Selection Task B.ipynb
DLBCL Feature Selection Task B.ipynb
 
 
DLBCL Feature Selection Task C.ipynb
DLBCL Feature Selection Task C.ipynb
 
 
DLBCL Feature Selection Task D.ipynb
DLBCL Feature Selection Task D.ipynb
 
 
Leukemia Feature Selection Task A.ipynb
Leukemia Feature Selection Task A.ipynb
 
 
Leukemia Feature Selection Task B.ipynb
Leukemia Feature Selection Task B.ipynb
 
 
Leukemia Feature Selection Task C.ipynb
Leukemia Feature Selection Task C.ipynb
 
 
Leukemia Feature Selection Task D.ipynb
Leukemia Feature Selection Task D.ipynb
 
 
Lung Feature Selection Task A.ipynb
Lung Feature Selection Task A.ipynb
 
 
Lung Feature Selection Task B.ipynb
Lung Feature Selection Task B.ipynb
 
 
Lung Feature Selection Task C.ipynb
Lung Feature Selection Task C.ipynb
 
 
Lung Feature Selection Task D.ipynb
Lung Feature Selection Task D.ipynb
 
 
README.md
README.md
 
 

Repository files navigation

Cancer-gene-expression-analysis

The study of gene expression of cells and tissue is one of the major ways for discovery in medicines. The main challenge of such gene data is high input dimensionality, heterogeneity in the data with very low sample size. To overcome this, gene subset selection/Feature Selection has become a crucial and essential step.

About

Gene expression and feature selection

Topics

feature-selection cancer-genomics lung-cancer-detection feature-engineering dlbcl leukemia-research

Resources

Readme
Activity

Stars

4 stars

Watchers

2 watching

Forks

1 fork
Report repository

Releases

No releases published

Packages

No packages published

Languages