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Notebooks used in my Master's thesis "Assessment of generative algorithms for engineering of new molecules to treat skin diseases"
Generation and Classification of Drug Like molecule usings Neural Networks
Drug-Likeness
User-friendly extensions of the DrugBank database
An exploration strategy improves the diversity of de novo drug design using deep reinforcement learning
Predict drug response with graph convolutional network.
Analysis of drug response based on cell staining
DRUGZ software
Open-source command-line tool to run batch computing tasks and workflows on backend services such as Google Cloud.
Identifying Drug-Target interaction using network embedding and esemble learning
A Network Integration Approach for Drug-Target Interaction Prediction
Analysis of Dual RNA-seq data - an experimental method for interrogating host-pathogen interactions through simultaneous RNA-seq.
ECCpy is a program for EC50 calculation in python.
:notebook: Lab manager, experiment notebook, database for research labs
An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
eMolFrag is a molecular fragmentation tool based on BRICS algorithm written in Python.
This repo holds the code and data for my 2017 paper that was published in the METHODS journal (EL-SEVIER)
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
A Graph-Convolutional Deep Neural Network for predicting electrostatic potential surfaces
Examples for the book 'Data Science in Chemistry', ISBN: 978-3-11-062939-2, Published: 23 Nov 2020
Explainer for black box models that predict molecule properties
Data and code of the experiments for "Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic"
Molecular Generation by Fast Assembly of SMILES Fragments
Fusion models for Atomic and molecular STructures (FAST)
Draft of the fastai book
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
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.