Friends don't let friends make certain types of data visualization - What are they and why are they bad.

Enhancing {ggplot2} plots with statistical analysis 📊📣

Repository for Programming Assignment 2 for R Programming on Coursera

A list of scRNA-seq analysis tools

A unified interface to immune deconvolution methods (CIBERSORT, EPIC, quanTIseq, TIMER, xCell, MCPcounter) and mouse deconvolution methods

High dimensional weighted gene co-expression network analysis

R package for integrating and analyzing multiple single-cell datasets

Fast Gene Set Enrichment Analysis

R package implementation of Milo for testing for differential abundance in KNN graphs

A toolkit for single-cell immune profiling

Functions for identifying and characterizing continuous developmental trajectories in single-cell data.

Interpretation of cell states using reference single-cell maps

Download de dados do DataSUS e pré-processamento no R.

Multi-subject Single Cell Deconvolution

R package to infer biological activities from omics data using a collection of methods.

Tools to work with variant call format files

IOBR is an R package to perform comprehensive analysis of tumor microenvironment and signatures for immuno-oncology.

Tools and methods for analysis of single cell assay data in R

Visualization of Functional Enrichment Result

🎯 ChIP peak Annotation, Comparison and Visualization

Visualise Clusterings at Different Resolutions

Authentication and Administration for Shiny apps

Simple simulation of single-cell RNA sequencing data

Gene set variation analysis

R package for "sum of single effects" regression.

Annotation-free quantification of RNA splicing. Yang I. Li, David A. Knowles, Jack Humphrey, Alvaro N. Barbeira, Scott P. Dickinson, Hae Kyung Im, Jonathan K. Pritchard

Genomic Data Retrieval with R

R package to integrate rdocumentation.org into your R workflow

Methods for detecting doublets in single-cell sequencing data

Clone of the Bioconductor repository for the SingleR package.