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Papers: 10.1186/1756-0500-5-282

https://doi.org/10.1186/1756-0500-5-282

Microarray Я US: a user-friendly graphical interface to Bioconductor tools that enables accurate microarray data analysis and expedites comprehensive functional analysis of microarray results

Cited by: 9
Author(s): Yilin Dai, Ling Guo, Meng Li, Yibu Chen
Published: over 14 years ago

Software Mentions 11

bioconductor: affylmGUI
GUI for limma Package with Affymetrix Microarrays
Papers that mentioned: 30
Very Likely Science (78)
bioconductor: ArrayExpress
Access the ArrayExpress Collection at EMBL-EBI Biostudies and build Bioconductor data structures: ExpressionSet, AffyBatch, NChannelSet
Papers that mentioned: 1,962
Very Likely Science (83)
bioconductor: GEOmetadb
A compilation of metadata from NCBI GEO
Papers that mentioned: 27
Very Likely Science (83)
bioconductor: GEOquery
Get data from NCBI Gene Expression Omnibus (GEO)
Papers that mentioned: 328
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: made4
Multivariate analysis of microarray data using ADE4
Papers that mentioned: 86
Very Likely Science (100)
bioconductor: maSigPro
Significant Gene Expression Profile Differences in Time Course Gene Expression Data
Papers that mentioned: 119
Very Likely Science (100)
bioconductor: ssize
Estimate Microarray Sample Size
Papers that mentioned: 5
Very Likely Science (100)
cran: gplots
Various R Programming Tools for Plotting Data
Papers that mentioned: 2,122
Very Likely Science (85)
cran: SAM
Sparse Additive Modelling
Papers that mentioned: 4,566
Very Likely Science (85)
pypi: stats
Calculator-style statistical functions
Papers that mentioned: 3,105
Very Likely Science (90)