krishnanlab Goto Github PK
Name: Krishnan Lab
Type: Organization
Bio: Laboratory for Computational Genomics and Biomedical Data Science
Twitter: krishnanlab
Location: United States of America
Blog: www.thekrishnanlab.org
Name: Krishnan Lab
Type: Organization
Bio: Laboratory for Computational Genomics and Biomedical Data Science
Twitter: krishnanlab
Location: United States of America
Blog: www.thekrishnanlab.org
code for Human pan-body age- and sex-specific molecular phenomena inferred from public transcriptome data using machine learning
Weighted Learning on ASD data
Source code for "A network-based approach for isolating the chronic inflammation gene signatures underlying complex diseases towards finding new treatment opportunities"
COntext-specific Network Embedding
Repo houses paper reviewed in cross species knowledge transfer paper and related data
Student repository for ECRE workshops and research experience
Data, results, and code accompanying the manuscript: "A Flexible, Interpretable, and Accurate Approach for Imputing the Expression of Unmeasured Genes" "
WIP new gene plexus app
Data, results, and code accompanying the manuscript: "Supervised learning is an accurate method for network-based gene classification"
GenePlexus App - backend (cloud functions) and frontend
Repository Accompanying the manuscript J"oint representation of molecular networks from multiple species improves gene classification"
This repo will test getting a GitHub page site talk to google cloud
MCC-F1 curve: a performance evaluation technique for binary classification
Training text-based ML models to predict protocols for microbiome samples
See https://github.com/krishnanlab/obnb
A Python toolkit for setting up benchmarking dataset using biomedical networks
Benchmarking repository for OBNB
A fast, parallelized, memory efficient, and cache-optimized Python implementation of node2vec
A _blazingly fast_ Python package for modifying and converting DAB files
A network based gene classification library to generate genome wide predictions about genes that are functionally similar to the input gene list.
In-depth analysis of normalization and transformation methods for building coexpression networks from RNA-seq data.
Simplex app
Ranking the similarities of omics samples using siamese neural networks
Slides and materials from talks, workshops, seminars, etc.
Courses & workshops led by members of the Krishnan Lab.
Code for classifying unstructured text to tissue ontology terms using natural language processing and machine learning.
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.