acabassi

coca

R package for COCA: Cluster-of-Clusters Analysis

klic

R package for KLIC: Kernel Learning Integrative Clustering

logistic-regression-for-multi-omic-data

Two-step penalised logistic regression for multi-omic data.

klic-pancancer-analysis

This is the code used by Cabassi and Kirk (2020) to analyse the pancancer dataset of Hoadley et al. (2014) using COCA and KLIC.

large-scale-regression

This folder contains the code written for the internship project "High performance large-scale regression" developed at The Alan Turing Institute during summer 2018.

psms-pancancer-analysis

This is the code used by Cabassi, Richardson and Kirk (2020) to analyse the pancancer dataset of Hoadley et al. (2014) combining multiple PSMs.

acabassi.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

clusternomics

Integrative clustering for heterogeneous biomedical datasets.

combine-psms

Summarising and combining PSMs via kernel methods.

fdcov

R package for the analysis of covariance operators of functional data

DPMSysBio

IPFStructPenalty

R package for the structured penalized regression

klic-code

klic-transcriptional-modules

This is the code used by Cabassi and Kirk (2020) to apply KLIC to transcriptional module discovery for yeast.

mdiHelpR

A repo for some of my MDI helper functions.

psms-transcriptional-modules

The code contained in this folder can be used to reproduce the transcriptional module discovery presented in Cabassi, Richardson, and Kirk (2020).

SimpleMKL

SimpleMKL Toolbox from http://asi.insa-rouen.fr/enseignants/~arakoto/code/mklindex.html

vimix

R package for VIMIX: Variational Inference for MIXture models