PolySTest - 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.
Last updated 2 months ago
massspectrometryproteomicssoftwaredifferentialexpression
4.85 score 130 dependenciesvsclust - 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.
Last updated 5 months ago
clusteringannotationprincipalcomponentdifferentialexpressionvisualizationproteomicsmetabolomics
4.30 score 88 dependencies