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Papers: 10.1371/journal.pone.0104504

https://doi.org/10.1371/journal.pone.0104504

Identification of Significant Features by the Global Mean Rank Test

Cited by: 17
Author(s): Martin Klammer, J. Nikolaj Dybowski, Daniel Hoffmann, Christoph Schaab
Published: almost 11 years ago

Software Mentions 4

bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: RankProd
Rank Product method for identifying differentially expressed genes with application in meta-analysis
Papers that mentioned: 213
Very Likely Science (100)
cran: SAM
Sparse Additive Modelling
Papers that mentioned: 4,566
Very Likely Science (85)
cran: samr
SAM: Significance Analysis of Microarrays
Papers that mentioned: 114
Very Likely Science (93)