WesleyyC / Amino-Acid-EmbeddingLinks
Train an Amino Acid Embeddings (or a dragon?)
☆17Updated 8 years ago
Alternatives and similar repositories for Amino-Acid-Embedding
Users that are interested in Amino-Acid-Embedding are comparing it to the libraries listed below
Sorting:
- ☆59Updated 8 years ago
- Function prediction using a deep ontology-aware classifier☆85Updated 3 years ago
- A convolutional neural network to predict PPI interactions☆42Updated 7 years ago
- Modeling of human 5′ UTRs enables the design of new sequences for target levels of translation and 5′ UTR variant prediction.☆54Updated 6 years ago
- A new approach for representing biological sequences☆100Updated last year
- insilico Pathway Activation Network Decomposition Analysis (iPANDA) package. Owned by Insilico Medicine Inc. iPANDA is a pathway analysis…☆28Updated 8 years ago
- Analysis and figure code from Alley et al. 2019.☆59Updated 2 years ago
- ☆23Updated 2 years ago
- Stochastic Sequence Propagation - A Keras Model for optimizing DNA, RNA and protein sequences based on a predictor☆50Updated last year
- ☆127Updated 4 years ago
- ☆52Updated 5 years ago
- Amino Acid Embedding Representation as Machine Learning Features☆20Updated 7 years ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 4 years ago
- Machine learning workflows for analyzing high-throughput protein data☆26Updated 9 years ago
- 🧛 Deep generative models for TCR sequences 🧛☆17Updated 3 years ago
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆18Updated 3 years ago
- ☆49Updated last year
- Protein function prediction using a variational autoencoder☆95Updated 7 years ago
- MusiteDeep provides a deep-learning method for general and kinase-specific phosphorylation site prediction. It is implemented by deep lea…☆48Updated 4 months ago
- retrieve protein sequence identifiers and metadata from http://uniprot.org☆68Updated 4 years ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆75Updated 4 years ago
- Code for reproducing results of "Unsupervised embeddings is all you need for protein function prediction"☆41Updated 2 years ago
- The repository contains all the code for the paper amino acid encoding using deep learning application☆20Updated last year
- inferring sequence-structure motifs using deep learning☆40Updated 2 years ago
- ☆39Updated 7 years ago
- An R package to calculate indices and theoretical physicochemical properties of peptides and protein sequences.☆94Updated last year
- ☆17Updated 3 years ago
- Protein Identification with Deep Learning☆102Updated 5 years ago
- Code for the analyses in the human reference interactome paper.☆28Updated 3 years ago
- A Python package for extracting protein sequence features☆62Updated 3 years ago