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http://www.bioconductor.org/packages/release/bioc/html/pickgene.html

Software for adaptive Gene Picking for Microarray Expression Data Analysis.

Proper citation: pickgene (RRID:SCR_001331) Copy   

•   Source: SciCrunch Registry

https://www.bioconductor.org/packages//2.10/bioc/html/oneChannelGUI.html

Software library that provides a graphical interface for microarray gene and exon level analysis as well as miRNA/mRNA-seq data analysis. The package was developed to simplify the use of Bioconductor tools for beginners having limited or no experience in writing R code.

Proper citation: oneChannelGUI (RRID:SCR_001325) Copy   

•   Source: SciCrunch Registry

http://itb.biologie.hu-berlin.de/~futschik/software/R/cycle/index.html

Software package for the identification of periodically expressed genes using Fourier analysis and the statistical assessment of significance using different background models.

Proper citation: CYCLE (RRID:SCR_001328) Copy   

•   Source: SciCrunch Registry

https://www.bioconductor.org/packages//2.12/bioc/html/LMGene.html

Software package for Data Transformation and Identification of Differentially Expressed Genes in Gene Expression Arrays.

Proper citation: LMGene (RRID:SCR_001329) Copy   

•   Source: SciCrunch Registry

http://bioinf.wehi.edu.au/affylmGUI/

R software package providing a Graphical User Interface for analysis of Affymetrix microarray data, using the limma package (Linear Models for MicroArray data). While not as powerful as limma to the expert user, it offers a simple point-and-click interface to many of the commonly-used limma and affy functions. You need to have R 1.9.0 or later, Tcl/Tk 8.3 or later (ActiveTcl for Windows, Tcl/Tk Source for Linux/Unix, or X11 Tcl/Tk for MacOSX) and the limma, affylmGUI, and tkrplot R packages. It has been succesfully tested on Windows 2000, Windows XP, RedHat/Fedora Linux, and on Mac OSX with X11.

Proper citation: affylmGUI (RRID:SCR_001320) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/arrayQuality.html

Software functions for performing print-run and array level quality assessment.

Proper citation: arrayQuality (RRID:SCR_001315) Copy   

•   Source: SciCrunch Registry

https://www.bioconductor.org/packages//2.10/bioc/html/ArrayTools.html

Software package for quality assessment and to detect differentially expressed genes for the Affymetrix GeneChips, including both 3' -arrays and gene 1.0-ST arrays. The package generates comprehensive analysis reports in HTML format. Hyperlinks on the report page will lead to a series of QC plots, processed data, and differentially expressed gene lists. Differentially expressed genes are reported in tabular format with annotations hyperlinked to online biological databases.

Proper citation: ArrayTools (RRID:SCR_001313) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/affyPLM.html

Software for fitting probe-level models and tools using these models. Probe-level models (PLM) based quality assessment tools.

Proper citation: affyPLM (RRID:SCR_001319) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/plgem.html

Software to detect differential expression in microarray and proteomics datasets. Its use has been shown to improve the detection of differentially expressed genes or proteins in these datasets.

Proper citation: plgem (RRID:SCR_001355) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/pvca.html

Software package that contains the function to assess the batch sourcs by fitting all sources as random effects including two-way interaction terms in the Mixed Model (depends on lme4 package) to selected principal components, which were obtained from the original data correlation matrix. This package accompanies the book Batch Effects and Noise in Microarray Experiements, chapter 12.

Proper citation: PVCA (RRID:SCR_001356) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/metaArray.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Software package for data transformation for meta-analysis of microarray Data: Transformation of gene expression data to signed probability scale (MCMC/EM methods) and combined differential expression on raw scale: Weighted Z-score after stabilizing mean-variance relation within platform.

Proper citation: metaArray (RRID:SCR_001353) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/maSigPro.html

A regression based software package to find genes for which there are significant gene expression profile differences between experimental groups in time course microarray experiments.

Proper citation: maSigPro (RRID:SCR_001349) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/genArise.html

An easy to use software tool for dual color microarray data. Its GUI-Tk based environment lets any non-experienced user perform a basic, but not simple, data analysis just following a wizard. In addition it provides some tools for the developer.

Proper citation: genArise (RRID:SCR_001346) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/Harshlight.html

Software package used to detect extended, diffuse and compact blemishes on microarray chips. It automatically marks the areas in a collection of chips (affybatch objects) and a corrected AffyBatch object is returned, in which the defected areas are substituted with NAs or the median of the values of the same probe in the other chips in the collection.

Proper citation: Harshlight (RRID:SCR_001340) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/MiChip.html

Software package that takes the MiChip miRNA microarray .grp scanner output files and parses these out, providing summary and plotting functions to analyse MiChip hybridizations. A set of hybridizations is packaged into an ExpressionSet allowing it to be used by other BioConductor packages.

Proper citation: MiChip (RRID:SCR_001341) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/frma.html

Preprocessing and analysis software for single microarrays and microarray batches.

Proper citation: fRMA (RRID:SCR_001345) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/arrayQualityMetrics.html

Software package that generates microarray quality metrics reports for data in Bioconductor microarray data containers (ExpressionSet, NChannelSet, AffyBatch). Reports contain both general and platform-specific sections. Both one and two color array platforms are supported.

Proper citation: arrayQualityMetrics (RRID:SCR_001335) Copy   

•   Source: SciCrunch Registry

https://rdrr.io/bioc/DEDS/

Software library that contains functions that calculate various statistics of differential expression for microarray data, including t statistics, fold change, F statistics, SAM, moderated t and F statistics and B statistics. It also implements methodology (Differential Expression via Distance Summary) which selects differentially expressed genes by integrating and summarizing a set of statistics using a weighted distance approach.

Proper citation: DEDS (RRID:SCR_001339) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages//2.13/bioc/html/virtualArray.html

Software package that permits the user to combine raw data of different microarray platforms into one virtual array. It consists of several functions that act subsequently in a semi-automatic way. Doing as much of the data combination and letting the user concentrate on analyzing the resulting virtual array.

Proper citation: virtualArray (RRID:SCR_001361) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/stepNorm.html

Software for stepwise normalization functions for cDNA microarray data.

Proper citation: stepNorm (RRID:SCR_001359) Copy   

•   Source: SciCrunch Registry