QData / ChromeGCN

Related projects: ⓘ

• HarveyYan / RNAonGraph
  A repository for neural representational learning of RNA secondary structures
  ☆30Updated 4 years ago
• johli / scrambler
  Interpretation by Deep Generative Masking for Biological Sequences
  ☆34Updated 2 years ago
• pth1993 / DeepCE
  A deep learning framework for high-throughput mechanism-driven phenotype screening
  ☆46Updated 3 years ago
• bio-ontology-research-group / deepgo
  Function prediction using a deep ontology-aware classifier
  ☆77Updated last year
• baranwa2 / MetabolicPathwayPrediction
  ☆28Updated 11 months ago
• HannesStark / protein-localization
  Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of p…
  ☆54Updated last year
• PaccMann / paccmann_predictor
  PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…
  ☆44Updated 3 months ago
• kckishan / GNE
  This repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biolo…
  ☆31Updated 3 years ago
• JaesikKim / HiG2Vec
  ☆23Updated last year
• stamakro / GCN-for-Structure-and-Function
  Code for reproducing results of "Unsupervised embeddings is all you need for protein function prediction"
  ☆38Updated last year
• mikejhuang / PhageProtVec
  Amino Acid Embedding Representation as Machine Learning Features
  ☆18Updated 6 years ago
• mheinzinger / SeqVec
  Modelling the Language of Life - Deep Learning Protein Sequences
  ☆71Updated 3 years ago
• Rostlab / goPredSim
  ☆43Updated last year
• kimmo1019 / DeepCDR
  Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network
  ☆69Updated last year
• tadorfer / nlprot
  NLP for Proteins - A paper collection
  ☆13Updated 4 years ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆70Updated 4 months ago
• johli / seqprop
  Stochastic Sequence Propagation - A Keras Model for optimizing DNA, RNA and protein sequences based on a predictor
  ☆41Updated last month
• snap-stanford / multiscale-interactome
  ☆62Updated last year
• BojarLab / glycowork
  Package for processing and analyzing glycans and their role in biology.
  ☆56Updated this week
• MedChaabane / deepRAM
  End-to-end deep learning toolkit for predicting protein binding sites and motifs.
  ☆44Updated 5 years ago
• MachineLearningLifeScience / meaningful-protein-representations
  ☆103Updated 2 years ago
• menchelab / MultiOme
  Network-based project to explore gene connectivity through biological scales
  ☆20Updated 2 years ago
• bowang-lab / BIONIC
  Biological Network Integration using Convolutions
  ☆58Updated 8 months ago
• brianhie / evolocity
  Evolutionary velocity with protein language models
  ☆83Updated 11 months ago
• alrojo / UniLanguage
  Homology reduced UniProt, train-/valid-/testsets for language modeling
  ☆16Updated 2 years ago
• OATML / EVE
  Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Jo…
  ☆57Updated 2 years ago
• tbepler / prose
  Multi-task and masked language model-based protein sequence embedding models.
  ☆95Updated 3 years ago
• lbcb-sci / RiNALMo
  RiboNucleic Acid (RNA) Language Model
  ☆56Updated 4 months ago
• amirmohan / epistatic-net
  Epistatic Net is an algorithm which allows for spectral regularization of deep neural networks to predict biological fitness functions (e…
  ☆17Updated 3 years ago
• Rostlab / bindPredict
  Prediction of binding residues for metal ions, nucleic acids, and small molecules.
  ☆31Updated 2 years ago