kevinluolk Goto Github PK
Name: Kai(kevin) Luo
Type: User
Bio: Multiomics;Aging; Cardiometabolic diseases; Environmental Health
Location: Shanghai, China
Name: Kai(kevin) Luo
Type: User
Bio: Multiomics;Aging; Cardiometabolic diseases; Environmental Health
Location: Shanghai, China
ADRD Brain Aging projects
Cytograph version used for adult human-brain analysis
Collection of WDL workflows based off the University of Washington TOPMed DCC Best Practices for GWAS. The WDL structure was based upon CWLs written by the Seven Bridges development team.
List of software packages for multi-omics analysis
R package for the analysis of massive SNP arrays.
RBlogdown
Must-read papers and resources related to causal inference and machine (deep) learning
Causal Mediation analysis
Uplift modeling and causal inference with machine learning algorithms
Convert GWAS sumstat files into a common format with a common reference for positions, rsids and effect alleles.
Code examples for when I suggest an analysis when the analyst may need some inspiration. Mostly R, but other languages as well.
Helper/wrapper functions for executing coloc & associated analyses
Cross-platform genetic discovery of small molecule products of metabolism and application to clinical outcomes Luca A. Lotta, Maik Pietzner, Isobel D. Stewart, Laura B.L. Wittemans, Chen Li, Roberto Bonelli, Johannes Raffler, Emma K. Biggs, Clare Oliver-Williams, Victoria P.W. Auyeung, Jian’an Luan, Eleanor Wheeler, Ellie Paige, Praveen Surendran,
A multi-ancestry polygenic risk score approach
《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。
Keras code and weights files for popular deep learning models.
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.
Using R language in microbiome analysis
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.
Methods for converting eQTL summary statistics into TWAS SNP-weights
Draw forestplot in R
A collection of commonly used format for quick lookup.
GENetic EStimation and Inference in Structured samples (GENESIS): Statistical methods for analyzing genetic data from samples with population structure and/or relatedness
R-package for structural equation modeling based on GWAS summary data
Genotype-based Prediction (GenoPred)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.