vallinp Goto Github PK

cellprofiler

An open-source application for biological image analysis

cuml

cuML - RAPIDS Machine Learning Library

data.table.extras

Auxiliary functions to assist in the usage of data.table

easyflow

easyFlow : An easy to do unsupervised analysis of mass and flow cytometry data

easyrf

easyxgboost

fit-sne

Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)

flowsom_protocol

R code to demonstrate the FlowSOM analysis pipeline.

ggbiplot

A biplot based on ggplot2

histocatplus

howto_virtualmachine

An easy to performe procedure to create a virtual machine

imcsegmentationpipeline

A pixelclassification based multiplexed image segmentation pipeline

kmisc

A collection of functions for common data reshaping operations, as well as functions for table and plot generation for R Markdown documents.

macsquantifyr

R version of MACSQuantify data handler automate

macsquantifyxl

Xlsx macro version of MACSQuantifyR

multicore-tsne

Parallel t-SNE implementation with Python and Torch wrappers.

openclassroom_homework

A collection of my OpenClassroom Homework

opentsne

Extensible, parallel implementations of t-SNE

projetopensource

rcharts

Interactive JS Charts from R

rclusterpp

Memory efficient clustering in R for large datasets

reticulate

R Interface to Python

robust-som-supersom-clustering

scyan

Biology-driven deep generative model for cell-type annotation in cytometry. Scyan is an interpretable model that also corrects batch-effect and can be used for debarcoding or population discovery.

shiny-gridster

Add-on package for using the Gridster library with Shiny

shinyjs

💡 Easily improve the user experience of your Shiny apps in seconds

spadevizr

SPADEVizR: an R package for Visualization, Analysis and Integration of SPADE results.

t-sne-tutorial

A tutorial on the t-SNE learning algorithm

tsne-cuda

GPU Accelerated t-SNE for CUDA with Python bindings