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Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
This Repo is for the final Project of Coursera "The data scientist toolbox" Course
The Leek group guide to data sharing
DA_505 first round submission to DREAM Challenge Tumor Deconvolution
Methods to to train Dream Deconv Model (1st submission)
genewise elastic-net regression for proteomic challenge
example1 file for fread Issue
Plotting Assignment 1 for Exploratory Data Analysis
An evolutionary Algorithm for the Identification and Study of Prognostic Gene Expression Signatures in Cancer
Genetic algorithm for the discovery of transcriptomic gene signatures in cancer
An evolutionary Algorithm for the Identification and Study of Prognostic Gene Expression Signatures in Cancer (Bioconductor)
Genetic algorithm for cancer subtype prediction with clinically significant diference in survival
The bridge between the NCBI Gene Expression Omnibus and Bioconductor
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more
Repository for Programming Assignment 2 for R Programming on Coursera
Peer Assessment 1 for Reproducible Research
TCGAbiolinks
Github repo for Getting and Cleaning Data Course of Coursera Data Science Specialization
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.