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2018_ds3_tutorial

Tutorial on machine learning for genetics given at the DS3@Polytechnique summer school

apg

Accelerated proximal gradient in R

deepsuquan

Extend SUQUAN to deep learning problems

droplasso

Dropout Lasso

droplasso-experiments

A fusion of the dropout and the lasso penalties used in Single Cell data

grisli

GRISLI: Gene Regulation Inference for Single-cell with LInear differential equations and Peanian kernel velocities

jpvert.github.io

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

kmr

Kernel multitask regression

kmr4toxicogenetics

Code to reproduce the experiments in the paper "Kernel multitask regression for toxicogenetics"

lotus

LOTUS is an algorithm for cancer driver gene prediction. This page provides in particular codes to reproduce simulation results.

netnorm

networks

Reconstruction of Regulatory Networks using Learning Methods

qmf-genomics

Multiomics data integration with quantile matrix factorization

singlecellkernel

Positive definite kernel for single-cell RNA-seq data

suquan

Supervised quantile normalization in R

tigress

Trustful Inference of Gene REgulation using Stability Selection

xenopus-atlas

Visualization of spatiotemporal gene expression in Xenopus embryo