jystatistics Goto Github PK
Name: Jongyun Jung
Type: User
Company: The Ohio State University
Location: Columbus
Name: Jongyun Jung
Type: User
Company: The Ohio State University
Location: Columbus
Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing
Slides for Algorithms for DNA Sequencing Coursera class
Solutions for the Advanced R Development book
The purpose of this repository is to store and track my learning process of R, especially for Advanced R.
Supplementary files for my book, "Bioinformatics Data Skills"
Bioinformatics with Python Cookbook Second Edition, published by Packt
Code and examples for JHU Computational Genomics class
Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification
My curriculum vitae
DeepGS is a R package for predicting phenotypes from genotypes using deep learning techniques.
A repo of short "vignettes" illustrating statistical concepts
The Leek group guide to genomics papers
Statistics course for JHU Genomic Data Science Sequence
A comprehensive tutorial about GWAS and PRS
This repository contains scripts to prepare plink genotype files for imputation on the Sanger server.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
my homepage
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
machine learning and deep learning tutorials, articles and other resources
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Code samples for my book "Neural Networks and Deep Learning"
Notes on writing
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Links to slides for rstudio::conf 2019
ukbREST: efficient and streamlined data access for reproducible research of large biobanks
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.