vsclust - Feature-based variance-sensitive quantitative clustering
Feature-based variance-sensitive clustering of omics data. Optimizes cluster assignment by taking into account individual feature variance. Includes several modules for statistical testing, clustering and enrichment analysis.
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clusteringannotationprincipalcomponentdifferentialexpressionvisualizationproteomicsmetabolomicscpp
4.92 score 12 scripts 414 downloadsPolySTest - PolySTest: Detection of differentially regulated features. Combined statistical testing for data with few replicates and missing values
The complexity of high-throughput quantitative omics experiments often leads to low replicates numbers and many missing values. We implemented a new test to simultaneously consider missing values and quantitative changes, which we combined with well-performing statistical tests for high confidence detection of differentially regulated features. The package contains functions to run the test and to visualize the results.
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massspectrometryproteomicssoftwaredifferentialexpressioncsvdifferential-protein-expression-profilingdsvexpression-datagene-expression-profileheat-maphistogramp-valueproteomics-experimentq-valuestatistical-modellingstatistics-and-probabilitysvg
4.40 score 10 scripts 268 downloads