Identification of significant features by the Global Mean Rank test.
With the introduction of omics-technologies such as transcriptomics and proteomics, numerous methods for the reliable identification of significantly regulated features (genes, proteins, etc.) have been developed. Experimental practice requires these tests to successfully deal with conditions such a...
Enregistré dans:
Auteurs principaux: | Martin Klammer, J Nikolaj Dybowski, Daniel Hoffmann, Christoph Schaab |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Public Library of Science (PLoS)
2014
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/68a9b404cbf947448e605a83457dba17 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Structure and dynamics of financial networks by feature ranking method
par: Mahmudul Islam Rakib, et autres
Publié: (2021) -
Mean ranked acceptance sampling plan under exponential distribution
par: Syed Adil Hussain, et autres
Publié: (2021) -
The meaning of significant mean group differences for biomarker discovery.
par: Eva Loth, et autres
Publié: (2021) -
The meaning of significant mean group differences for biomarker discovery
par: Eva Loth, et autres
Publié: (2021) -
Improved identification of concordant and discordant gene expression signatures using an updated rank-rank hypergeometric overlap approach
par: Kelly M. Cahill, et autres
Publié: (2018)