Papers: 10.1038/s41598-021-87779-7

https://doi.org/10.1038/s41598-021-87779-7

Identification of genes associated with altered gene expression and m6A profiles during hypoxia using tensor decomposition based unsupervised feature extraction

Cited by: 10
Author(s): Sanjiban Sekhar Roy, Y-h. Taguchi
Published: over 5 years ago

Software Mentions 5

bioconductor: biomaRt
Interface to BioMart databases (i.e. Ensembl)
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Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
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Very Likely Science (78)
bioconductor: siggenes
Multiple Testing using SAM and Efron's Empirical Bayes Approaches
Papers that mentioned: 72
Very Likely Science (90)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: SAM
Sparse Additive Modelling
Papers that mentioned: 4,566
Very Likely Science (85)