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Name: Patrick Bryant
Type: User
Bio: PhD in Bioinformatics and Deep Learning.
Location: Stockholm
Name: Patrick Bryant
Type: User
Bio: PhD in Bioinformatics and Deep Learning.
Location: Stockholm
Assembly of spruce chloroplast
Improved protein complex prediction with AlphaFold-multimer by denoising the MSA profile
Assessing the relationship between ageing and changes in the human blood and brain methylomes.
Studying the protein structure universe by embedding structural homology groups from CATH
Tracking the spread of AMR across Europe
A deep CNN for evaluating the ARCENE dataset
Mutations in interfaces?
Structure prediction of alternative protein conformations
Code written at CMM
A repository for performing coevolutionary analysis of large datasets.
Supervised machine learning for decoposing decision making in the COVID19 outbreak.
Models the spread of COVID19 on a social network.
In silico directed evolution of peptide binders with AlphaFold
Code for the paper "Language Models are Unsupervised Multitask Learners"
A CNN for identifying cancer in histopathological images.
Exercises for AI Applications in Infection Biology
Code for predicting the binding affinity of different MHC-II complexes to peptides of varying lengths in terms of ic50.
MIGA is a Python package that provides a MSA (Multiple Sequence Alignment) mutual information genetic algorithm optimizer. It sorts two MSAs in a way that maximize or minimize their mutual information. The genetic algorithm solvers may run on both CPU and Nvidia GPUs.
Modelling of Large Protein Complexes
A simple script for matching sequences from two different MSAs based on the OX identifiers resulting from an hhblits search.
A recurrent neural network of stacked LSTMs that predict text sequences using the Penn Treebank dataset.
Rapid protein-protein interaction network creation from multiple sequence alignments with Deep Learning
Learning biological features of signal peptides with transformer neural networks.
Protein-ligand structure prediction
Code for variant interpretation
Predictor and Prescriptor models for the covid xprize challenge.
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.