boston123456 Goto Github PK
Type: User
Bio: J-
Type: User
Bio: J-
Advanced R programming: a book
A machine learning package built for humans.
Applied Deep Learning with Python, published by Packt
A catalog of appyter notebooks
A Python 3 implementation of automatic-relevance determination NMF (Tan & Fevotte 2013) based on their original implementation
A curated list of awesome deep learning applications in the field of computational biology
Reading list for research topics in multimodal machine learning
Bayesian Cost Effectiveness Analysis. Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the posterior distributions of suitable variables of costs and clinical benefits for two or more interventions, produces a health economic evaluation. Compares one of the interventions (the "reference") to the others ("comparators"). Produces many summary and plots to analyse the results
Repository for the IEEE BHI-BSN MIMIC-III Challenge
Molecular Generation for Desired Transcriptome Changes with Adversarial Autoencoders
Deep Learning package for Python
Utilities for performing biomarker survival analyses (e.g. cox proportional hazards, kaplan-meier, etc) from TCGA, CBioPortal, and other datasets
Bayesian meta-analysis & meta-regression in R
Boston123456's first github pages
Python code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins
An R package for causal inference in time series
Tool for training of logic models of signalling networks using prior knowledge networks and perturbation data.
Uses DepMap datasets and tumor data to identify SDL partners of CENPA. In collaboration with the Basrai Group at NCI.
Counterfactual Regression
Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
Message Passing Neural Networks for Molecule Property Prediction
Connectivity Map analysis in MATLAB
Definition and DDLs for the OMOP Common Data Model (CDM)
Comprehensive survival analyses on the TCGA data.
Continuous-time Markov model with discrete observations
Cyclops (Cyclic coordinate descent for logistic, Poisson and survival analysis) is an R package for performing large scale regularized regressions.
The Leek group guide to data sharing
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.