Computational Diagnostics Group @ Max Planck Institute for Molecular Genetics, Berlin (original) (raw)
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Dept. Vingron |
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Research |
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Software |
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Group Seminar |
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NGFN Microarray Data Analysis Resource |
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Collaborators |
Software
- adSplit - find annotation-driven splits
A package exploring functional annotations to generate biologically motivated splits. - compdiagTools - a toolbox for microarray analysis
An R package containing tools for analysis and illustration of microarray experiments. - DCOEX - finding groups of differentially coexpressed genes
An algorithm for finding groups of genes which are differentially coexpressed between two phenotypically distinct types of samples. - JALI - jumping alignments
A new algorithm for amino acid sequence classification and the detection of remote homologs. - MACAT - MicroArray Chromosome Analysis Tool
An R/Bioconductor package for finding significantly differentially expressed chromosome regions. - nem - Nested Effects Models
An R/Bioconductor package to reconstruct phenotypic hierarchies from high-dimensional phenotying screens. - OrderedList - Similarities of ordered gene lists
An R/Bioconductor package to explore the similarity between two lists of ordered genes. - StAM - Structured Analysis of Microarrays
An R/Bioconductor package for decomposing complex phenotypes using biologically structured classification. - TWILIGHT - Estimating the local false discovery rate
An R/Bioconductor package for two-condition microarray experiments. Includes computation of scores, empirical p-values and local false discovery rates.
Packages we host for friends:
- isis - Identifying Splits with Clear Separation
A class discovery method for gene expression data. - oncomodel - Oncogenesis Modelling
Computing probabilistic tree models for oncogenesis based on genetic data using maximum likelihood
Download R-packages from our R repository
All R-packages from our group are available from the CompDiag R repository.
In R, you can directly download a package by
library(reposTools) pck = "stam" # or "twilight" or "macat" or ... rep = getReposEntry("http://compdiag.molgen.mpg.de/software/Rrepos") install.packages2(pck,rep)