Search Results for "data classification"

The Interactome-Transcriptome Integration (ITI) algorithm allows the analysis of gene expression data by superimposition of a large scale protein-protein interaction data (human interactome) over several gene expression datasets. ITI extracts regions in the interactome with differentiating expression over two conditions. These subnetworks can that be used to build a generalizable and stable genomic signature for genomic/cancer classification.

Administration tool for Linux-based ISP traffic shaper

...It enables users to simulate, visualize and interact in the learning process of a Multi-Layer Perceptron on tasks which have a 2D character. Tasks like the famous two-spirals task or classification of satellite image data.

CAPE RNA is package of command-line tools for integrated analysis of miRNA-mRNA expression data. miRNA-mRNA interaction states are assigned for each sample independent of a priori known experimental groups. Using these interaction classifications Jaccard-indexes are calculated to evaluate the quality of a predicted interaction based on the distribution of assigned interaction states compared to experimental groups. In addition, negative correlation between miRNA and mRNA expression can be analyzed.

The package provides SVM models to be used with SVMlight (http://svmlight.joachims.org/) for drawing a consensus out of individual 3rd-party predictions about the effect of mutations. The 3rd party tools are SIFT, Polyphen2, SNPs&GO and Mutation Assessor. The package also provides a series of Perl modules and scripts to assist in the preparation of data. The modules can be used to build custom tools and pipelines, whereas the scripts provide basic executable implementations based on the...

RepMiner takes a graph theory approach to the classification and assembly of the repetitive fraction of genomic sequence data. Sequence lengths analyzed by RepMiner can range from full length transposable elements to low coverage sample sequence data.

BCAR is a library for the associative classification, which denotes "Boosting Class Association Rules". BCAR provides a general tool for classification tasks with various types of input data.