greenelab Goto Github PK
Name: Greene Laboratory
Type: Organization
Bio: Greene Laboratory at the University of Colorado Anschutz
Twitter: greenescientist
Location: Aurora, CO
Name: Greene Laboratory
Type: Organization
Bio: Greene Laboratory at the University of Colorado Anschutz
Twitter: greenescientist
Location: Aurora, CO
Manubot manuscript accompanying greenelab/2022-microberna
Flexible, probablistic metrics for quality control of scRNA-seq data
An analysis that once lived in greenelab/sc-cancer-hgsc/analyses/differential_expression/smart_QC.Rmd has morphed into a potential preprint, so I'm moving the analyses related to that here.
Case-control genetics datasets evolved to be epistatic
The Mousiplier web app (based on Adage), a tool to explore gene expression data and discover new insights from machine learning models
Multimodal Pan-cancer Mutation Prediction
An unsupervised transfer learning approach for rare disease transcriptomics
Multi-class KRAS/NRAS Classifier for Multiple Myeloma
Analysis of false negatives from mutation prediction classifiers
Analysis pipeline for Nature news articles
Exploring the network/pathway regularization landscape for gene expression data
Using Machine Learning to Identify Glioblastoma patients with NF1 inactivation
DEPRECATED - the old Adage web app. Replaced by: https://github.com/greenelab/py3-adage-backend and https://github.com/greenelab/adage-frontend
Onboarding materials for the Greene Lab
Processing OpenCitations Data
Building classifiers using cancer transcriptomes across 33 different cancer-types
Evaluating genome-wide prediction of driver mutations using pan-cancer data
Methods to build a network of pathway co-occurrence relationships out of expression signatures extracted from transcriptomic compendia.
This repository is in support of the PathCORE-T paper (https://doi.org/10.1101/147645). It contains all the code and necessary data/metadata to repeat all analyses in the paper.
Pipeline analysis for whole exome sequencing of pancreatic cancer PDX models
PhenoPLIER
PhenoPLIER manuscript
Software to simulate compendium-wide gene expression data using a VAE.
Twitter bot that tweets preprints and comments from BioRxiv and MedRxiv
A web app that uses machine learning to recommend the most suitable journals based on the text content of your preprint
Prettier config
To explore the use of latent space transformations using pseudomonas transcriptomic data.
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.