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advanced-shiny

Shiny tips & tricks for improving your apps and solving common problems

bmdx

conditionalquery

Python code to search clique in a labeled network. It search for clique of size 3 or 4 where each node in the clique has a different label.

corkohonen_package

A modified version of the Kohonen package implemented in R. In this version the similarities between objects can be evaluated also with the Pearson correlation

funmappone

FunMappOne: a tool to summarize and visually navigate functional categories in multiple experiments.

hbm_mv_clustering

Multi view clustering for patient sub-typing based on hierarchical block matrix

htmlwidgets

insidenano

R implementation of the tool InsideNano with shiny library

manga

MaNGA is a multi-niche/multi-objective genetic algorithm for QSAR modelling, that simultaneously enables stable feature selection as well as obtaining robust and validated regression models with maximized applicability domain.,

mvda

MVDA: A multi-view genomic data integration methodology

mvda_package

Multi-view clustering methodology in which the information from different data layers (views) is integrated at the levels of the results of each single view clustering iterations.

outliers_detection_affymetrix

R script that identifies outliers in affymetrix samples

parallel_build_mim

Multi-core R functions to build mututal information and correlation matrix

robustclusteringpatientsubtyping

robustsparsecorrelation

This is the R implementation of a robust correlation matrix estimator usefull in case of high-dimensional data to remove the bias. It also implement an adaptive thresholding technique based on cross validation tecnique to regularize the correlation matrix.

tindermix

TinderMIX: Time-Dose INtegrated moDelling of toxicogenomics data

weighted_kendall_tau

weighted kendall tau