Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"
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Updated
Sep 19, 2019 - Python
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"
An efficient attention-based approach for Protein Function Prediction using skip-gram features. Proposing two novel approaches, namely, OntoPred and OntoPredPlus capable to annotate protein sequences accurately.
python package to train CNN and DenseNet for protein function prediction
🧬Protein Functions Prediction through Amino Acids Sequences🧬
Protein function prediction through latent tensor reconstruction
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Pipeline for searching and aligning contact maps for proteins, then running DeepFri's GCN. This repository is for portfolio purposes only. For currently maintained version go to Małopolskie Centrum Biotechnologii repository - https://github.com/bioinf-mcb/Metagenomic-DeepFRI
A nextflow pipeline to cluster sets of proteins.
A platfrom supplies various machine learning algorithms and datasets and evaluation metrics for Protein Function Prediction
Domain-PFP is a self-supervised method to predict protein functions from the domains
A nextflow pipeline to cluster sets of proteins.
python package to encode protein using different methods for machine learning
Developing assembled functional classifications models via optimized machine learning algorithms
molecular graph representation
Predicting protein functions using positive-unlabeled ranking with ontology-based priors
SaprotHub: Making Protein Modeling Accessible to All Biologists
Benchmarking uncertainty quantification methods on proteins.
This repository contains the FPredX models for the prediction of excitation maximum, emission maximum, brightness and oligomeric state of fluorescent proteins.
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