Back to search

Article

Extracting the candidate genes for cancer from the microarray gene expression data by stochastic computation

2022-01-31

Abstract excerpt

Microarray gene expression data provides a simultaneous gene expression profile of thousands of genes. A handful of genes among the thousands of genes play dominant roles in a disease process. It is impractical to find these faulty genes from experimental data. A computational approach is necessary to find the key genes and hence it is an important area of research in bioinformatics. A new algorithm is developed i...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
8ab187cf-55c1-5595-a43b-b2f6219b3092
DOI
10.21203/rs.3.rs-1229120/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Extracting the candidate genes for cancer from the microarray gene expression data by stochastic computationDOI 10.21203/rs.3.rs-1229120/v1
Select a neighboring publication to make it the new centre.