chaitrasarathy Goto Github PK
Name: Chaitra Sarathy
Type: User
Bio: Programmer, Bioinformatician, Systems Biologist specialised in developing algorithms for omics integration and metabolic modelling
Location: Toronto, Canada
Name: Chaitra Sarathy
Type: User
Bio: Programmer, Bioinformatician, Systems Biologist specialised in developing algorithms for omics integration and metabolic modelling
Location: Toronto, Canada
A curated list of awesome Machine Learning frameworks, libraries and software.
my personal website
Repository of tutorials for The COBRA Toolbox
The COnstraint-Based Reconstruction and Analysis Toolbox. Documentation:
COMpare METabolic States using genome-scale metabolic models
EFM Visualization
This is a demo for creating GitHub pages using Docker
We used different machine learning approaches to build models for detecting and visualizing important prognostic indicators of breast cancer survival rate. This repository contains R source codes for 5 steps which are, model evaluation, Random Forest further modelling, variable importance, decision tree and survival analysis. These can be a pipelin
Material for the Ontologies workshop (one episode in the Data Science Workshop Series)
Generic pipeline to analyse scRNAseq data using Seurat
Official repo for the #tidytuesday project
My attempt at the #TidyTuesday challenge, with the visualizations and code
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.