Brings bulk and pseudobulk transcriptomics to the tidyverse

Seurat meets tidyverse. The best of both worlds.

R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)

A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.

🔜 Integrative Toolbox of Word Embedding Research for Psychological Science.

Project Dense Vectors Text Representation on 2D Plan

Stochastic Neighbor Embedding Experiments in R

SNE Simulation Dataset Functions

R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.

Feature engineering in machine learning

Display gene expression along a given reduced dimension on a heatmap

Cytometry analysis pipeline for large and complex datasets (CAPX) (beta)

Plot_ly-based plotting functions for use with Seurat objects

A project experimenting with implementing clustering algorithms in R

An R package for t-SNE (t-Distributed Stochastic Neighbor Embedding)

scRNA-seq-navigator is a post-alignment pipeline that utilizes Seurat for data processing and integration and ScType for automated cell type annotation.

This project takes reddit comments from random subreddits and classifies them depending on their contents

The project involves training micro RNA-based classification models using a prostate cancer dataset.

These projects were carried out as part of the MATH2021-1 High-dimensional data analysis course of the ULiege.