Showing 6 of total 6 results (show query)
bioc
ballgown:Flexible, isoform-level differential expression analysis
Tools for statistical analysis of assembled transcriptomes, including flexible differential expression analysis, visualization of transcript structures, and matching of assembled transcripts to annotation.
Maintained by Jack Fu. Last updated 5 months ago.
immunooncologyrnaseqstatisticalmethodpreprocessingdifferentialexpression
145 stars 10.51 score 338 scripts 1 dependents
john-d-fox
RcmdrMisc:R Commander Miscellaneous Functions
Various statistical, graphics, and data-management functions used by the Rcmdr package in the R Commander GUI for R.
Maintained by John Fox. Last updated 2 years ago.
1 stars 7.02 score 432 scripts 42 dependentsbioc
limpca:An R package for the linear modeling of high-dimensional designed data based on ASCA/APCA family of methods
This package has for objectives to provide a method to make Linear Models for high-dimensional designed data. limpca applies a GLM (General Linear Model) version of ASCA and APCA to analyse multivariate sample profiles generated by an experimental design. ASCA/APCA provide powerful visualization tools for multivariate structures in the space of each effect of the statistical model linked to the experimental design and contrarily to MANOVA, it can deal with mutlivariate datasets having more variables than observations. This method can handle unbalanced design.
Maintained by Manon Martin. Last updated 5 months ago.
statisticalmethodprincipalcomponentregressionvisualizationexperimentaldesignmultiplecomparisongeneexpressionmetabolomics
2 stars 5.73 score 2 scripts
insileco
graphicsutils:Collection of graphics utilities
A collection of functions to easily customize graphics-based plots.
Maintained by Kevin Cazelles. Last updated 3 years ago.
4 stars 3.90 score 20 scripts
christophe314
kml:K-Means for Longitudinal Data
An implementation of k-means specifically design to cluster longitudinal data. It provides facilities to deal with missing value, compute several quality criterion (Calinski and Harabatz, Ray and Turie, Davies and Bouldin, BIC, ...) and propose a graphical interface for choosing the 'best' number of clusters.
Maintained by Christophe Genolini. Last updated 5 months ago.
3.57 score 110 scripts 1 dependents
mrmarjan
multiUS:Functions for the Courses Multivariate Analysis and Computer Intensive Methods
Provides utility functions for multivariate analysis (factor analysis, discriminant analysis, and others). The package is primary written for the course Multivariate analysis and for the course Computer intensive methods at the masters program of Applied Statistics at University of Ljubljana.
Maintained by Cugmas Marjan. Last updated 2 years ago.
1.23 score 17 scripts