Showing 2 of total 2 results (show query)
bioc
padma:Individualized Multi-Omic Pathway Deviation Scores Using Multiple Factor Analysis
Use multiple factor analysis to calculate individualized pathway-centric scores of deviation with respect to the sampled population based on multi-omic assays (e.g., RNA-seq, copy number alterations, methylation, etc). Graphical and numerical outputs are provided to identify highly aberrant individuals for a particular pathway of interest, as well as the gene and omics drivers of aberrant multi-omic profiles.
Maintained by Andrea Rau. Last updated 5 months ago.
softwarestatisticalmethodprincipalcomponentgeneexpressionpathwaysrnaseqbiocartamethylseq
3 stars 4.95 score 2 scripts
cysouw
qlcVisualize:Visualization for Quantitative Language Comparison
Collection of visualizations as used in quantitative language comparison. Currently implemented are visualisations dealing nominal data with multiple levels ("level map" and "factor map"), and assistance for making weighted geographical Voronoi-maps ("weighted map").
Maintained by Michael Cysouw. Last updated 6 months ago.
4.03 score 24 scripts