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Papers: 10.1186/1471-2164-10-439

https://doi.org/10.1186/1471-2164-10-439

Relative power and sample size analysis on gene expression profiling data

Cited by: 64
Author(s): Maarten van Iterson, Peter A C ‘t Hoen, Paola Pedotti, Guido Hooiveld, Johan T. den Dunnen, Gjb van Ommen, JM Boer, R.M. Menezes
Published: almost 16 years ago

Software Mentions 6

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: multtest
Resampling-based multiple hypothesis testing
Papers that mentioned: 158
Very Likely Science (98)
bioconductor: qvalue
Q-value estimation for false discovery rate control
Papers that mentioned: 248
Very Likely Science (100)
cran: lattice
Trellis Graphics for R
Papers that mentioned: 251
Very Likely Science (85)
pypi: lattice
A framework for developing data models, including schema development and documentation.
Papers that mentioned: 251
Very Likely Science (80)