jerome-f Goto Github PK
Name: Jerome
Type: User
Company: Genentech Inc.
Location: San Francisco
Name: Jerome
Type: User
Company: Genentech Inc.
Location: San Francisco
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html
Sequential regulatory activity predictions with deep convolutional neural networks.
10x faster matrix and vector operations
CADD scripts release for offline scoring. For more information about CADD, please visit our website
Repo for the R package coloc
Lightweight, useful implementation of conformal prediction on real data.
For the CSC509 SFSU Course Deep Learning in Medical Imaging
Pathogenic gene prediction based on network embedding
Dynamic programming algorithms for exact linear clustering in networks.
Enrichment of Causal Loci and Identification of Pathogenic cells in Single Cell Expression and Regulation data
Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
Examples on using EpiGraphDB
Repo for the Expression Modifier Score (EMS)
Code for Kanai, M. et al. Insights from complex trait fine-mapping across diverse populations. (2021)
Graph attention networks-based framework for human microbe-disease association prediction
List of gene lists for genomic analyses.
🧬 gget enables efficient querying of genomic reference databases
A Python package for handling and visualizing GWAS summary statistics. https://cloufield.github.io/gwaslab/ https://gwaslab.com/python-gwaslab/
Scalable genomic data analysis.
Notebooks accompanying the paper "Navigating the pitfalls of applying machine learning in genomics"
PolyFun (POLYgenic FUNctionally-informed fine-mapping)
Bayesian Linear Programming for Resolution-Adaptive Signal Detection
Python library for reading GWAS summary statistics in GWAS-VCF files
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.