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Papers: 10.1155/2009/201325

https://doi.org/10.1155/2009/201325

Analysis of Array-CGH Data Using the R and Bioconductor Software Suite

Cited by: 8
Author(s): Winfried Hofmann, Anja Weigmann, Marcel Tauscher, Britta Skawran, Tim Focken, R Buurman, Luzie U. Wingen, Brigitte Schlegelberger, Doris Steinemann
Published: over 16 years ago

Software Mentions 11

bioconductor: aCGH
Classes and functions for Array Comparative Genomic Hybridization data
Papers that mentioned: 32
Very Likely Science (98)
bioconductor: CGHcall
Calling aberrations for array CGH tumor profiles.
Papers that mentioned: 37
Very Likely Science (90)
bioconductor: cghMCR
Find chromosome regions showing common gains/losses
Papers that mentioned: 15
Very Likely Science (73)
bioconductor: DNAcopy
DNA Copy Number Data Analysis
Papers that mentioned: 154
Very Likely Science (100)
bioconductor: GLAD
Gain and Loss Analysis of DNA
Papers that mentioned: 81
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: MANOR
CGH Micro-Array NORmalization
Papers that mentioned: 7
Very Likely Science (98)
bioconductor: marray
Exploratory analysis for two-color spotted microarray data
Papers that mentioned: 62
Very Likely Science (100)
bioconductor: snapCGH
Segmentation, normalisation and processing of aCGH data
Papers that mentioned: 16
Very Likely Science (98)
bioconductor: tilingArray
Transcript mapping with high-density oligonucleotide tiling arrays
Papers that mentioned: 17
Very Likely Science (90)
cran: waveslim
Basic Wavelet Routines for One-, Two-, and Three-Dimensional Signal Processing
Papers that mentioned: 9
Likely Science (50)