Statistical Rethinking course winter 2022

Statistical Rethinking course and book package

Rmd source files for the HarvardX series PH525x

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning al…

Make Complex Heatmaps

'ggplot2' Based Publication Ready Plots

Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"

R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data

Statistical Rethinking Course Winter 2020/2021

Source code and data for The Economist's covid-19 excess deaths tracker

NicheNet: predict active ligand-target links between interacting cells

Fast, sensitive and accurate integration of single-cell data with Harmony

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

Fast Gene Set Enrichment Analysis

R package for integrating and analyzing multiple single-cell datasets

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

Create anatograms using ggplot2

Multi-Omics Factor Analysis

PCAtools: everything Principal Components Analysis

Inside every classical test there is a Bayesian model trying to get out.

Differential analysis of RNA-Seq

zUMIs: A fast and flexible pipeline to process RNA sequencing data with UMIs

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

Pretty heatmaps

R-package for structural equation modeling based on GWAS summary data

Multi-Omics Factor Analysis

Visualization of Functional Enrichment Result

Diagnostics for HierArchical Regession Models