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Papers: 10.1186/1748-7188-4-7

https://doi.org/10.1186/1748-7188-4-7

Ranking differentially expressed genes from Affymetrix gene expression data: methods with reproducibility, sensitivity, and specificity

Cited by: 71
Author(s): Koji Kadota, Yuji Nakai, Kentaro Shimizu
Published: over 17 years ago

Software Mentions 13

bioconductor: affy
Methods for Affymetrix Oligonucleotide Arrays
Papers that mentioned: 989
Very Likely Science (98)
bioconductor: gcrma
Background Adjustment Using Sequence Information
Papers that mentioned: 186
Very Likely Science (73)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: plier
Implements the Affymetrix PLIER algorithm
Papers that mentioned: 6
Very Likely Science (93)
bioconductor: puma
Propagating Uncertainty in Microarray Analysis(including Affymetrix tranditional 3' arrays and exon arrays and Human Transcriptome Array 2.0)
Papers that mentioned: 14
Very Likely Science (100)
bioconductor: RankProd
Rank Product method for identifying differentially expressed genes with application in meta-analysis
Papers that mentioned: 213
Very Likely Science (100)
bioconductor: ROC
utilities for ROC, with microarray focus
Papers that mentioned: 123
Very Likely Science (100)
cran: st
Shrinkage t Statistic and Correlation-Adjusted t-Score
Papers that mentioned: 9
Very Likely Science (65)
pypi: DFW
Papers that mentioned: 1
Very Likely Science (65)
pypi: expresso
A symbolic expression manipulation library.
Papers that mentioned: 13
Very Likely Science (90)
pypi: plier
Utilities for PLY (Python Lex & Yacc)
Papers that mentioned: 6
Very Likely Science (80)
pypi: puma
Python Unified Multi-tasking API (PUMA)
Papers that mentioned: 14
Very Likely Science (90)
pypi: st
Sf Tools for Python3 Development
Papers that mentioned: 9
Very Likely Science (65)