Source code I have shared.
All source code in this repository is licensed under the terms of the MIT license.
Name: Peter Carbonetto
Type: User
Company: University of Chicago
Bio: Research Assistant Prof, Human Genetics, U. Chicago; previously, Staff Scientist at Ancestry, postdoc & HFSP fellow at U. Chicago, & Ph.D. at UBC
Location: Chicago, IL
Blog: https://pcarbo.github.io
Source code I have shared.
All source code in this repository is licensed under the terms of the MIT license.
Simple accelerated EM implementation of the ADMIXTURE model in R, plus extensions.
Exploration, clustering, visualization and classification of DNA damage patterns
R code implementing QTL mapping of hindlimb muscle weights in C57BL/6J ("B6") x DBA/2J ("D2") mouse advanced intercross line.
Specifying a conda environment with `environment.yml`
MATLAB source code to accompany the PLoS Genetics paper, "Integrated enrichment analysis of variants and pathways in genome-wide association studies indicates central role for IL-2 signaling genes in type 1 diabetes, and cytokine signaling genes in Crohn's disease".
R code to select breeders from an advanced intercross line so that they minimize inbreeding in the offspring
Demos for AncestryDNA workshop at 2016 CEHG Symposium, Stanford University.
R code implementing QTL mapping of physiological, behavioral and gene expression phenotypes in Carworth Farms White (CFW) outbred mice.
R package containing data from CFW genome-wide association study for use in courses.
Code and example data for running Consensus Non-negative Matrix Factorization on single-cell RNA-Seq data
Explorations of the Google Colaboratory.
R package for adaptive correlation and covariance matrix shrinkage: Go to the Workflow page here
package for the causal TWAS project
software package for integrative genetic association analysis
A book covering the fundamentals of data visualization.
Scalable Bayesian variable selection
Minimal illustration of Binder for sharing a data analysis in R.
Files for setting up shell environment on my MacBook and the compute clusters I regularly use.
Dynamic statistical comparisons in R.
Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data
work flow framework of flash project
A faster and angrier package for EBMF. In progress.
Research Computing Center introduction to analysis and visualization of genetic data, Part 1
Research Computing Center introduction to analysis and visualization of genetic data, Part 2
Various scripts and functions for manipulating genetic data.
My notes from the Intro to Git tutorial in Sep 2019.
R bindings to the libgit2 library
Exploratory analyses of GTEx data.
Repo for reproducing GTEx results in Urbut et al, 2017 "Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions"
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.