Kai(kevin) Luo's repositories
causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
causalml
Uplift modeling and causal inference with machine learning algorithms
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
easy_microbiome
Using R language in microbiome analysis
EPIC_Olink_protein_prediction
This repository contains code to derive prediction models for a total of 28 outcomes in the EPIC-Norfolk cohort (Day et al. 1997) using plasma proteomic data obtained with the Olink Explore platform.
Groningen-Microbiome
Microbiome Projects from the Department of Genetics and Department of Gastroenterology and Hepatology , University Medical Centre Groningen
eQTL_to_TWAS
Methods for converting eQTL summary statistics into TWAS SNP-weights
GENESIS
GENetic EStimation and Inference in Structured samples (GENESIS): Statistical methods for analyzing genetic data from samples with population structure and/or relatedness
ggClusterNet
Microbial ecological network visualization clustering
GWASpy
GWAS QC, PCA, haplotype phasing, genotype imputation
microbiomeMarker
R package for microbiome biomarker discovery
ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
ML-Notebooks
:fire: Machine Learning Notebooks
ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
mmvec
Neural networks for microbe-metabolite interaction analysis
MR-APSS
Mendelian Randomization accounting for Pleiotropy and Sample Structure using genome-wide summary statistics
MRlap
R package to perform two-sample Mendelian Randomisation (MR) analyses using (potentially) overlapping samples
r4ds
R for data science: a book
STAARpipeline-Tutorial
The tutorial for performing association analysis of whole-genome/whole-exome sequencing (WGS/WES) studies using FAVORannotator, STAARpipeline and STAARpipelineSummary
T2DMediationMR
Separating the direct effects of risk factors for atherosclerotic cardiovascular disease from those mediated by type 2 diabetes
tidytuesday
Code snippets for weekly #tidytuesday project
tipr
An R package for conducting sensitivity analyses for unmeasured confounders