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:
- ☆23Updated 2 years ago
- Amino Acid Embedding Representation as Machine Learning Features☆19Updated 7 years ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- Function prediction using a deep ontology-aware classifier☆84Updated 2 years ago
- Modeling of human 5′ UTRs enables the design of new sequences for target levels of translation and 5′ UTR variant prediction.☆50Updated 6 years ago
- ☆58Updated 8 years ago
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆18Updated 2 years ago
- A convolutional neural network to predict PPI interactions☆42Updated 6 years ago
- 🧛 Deep generative models for TCR sequences 🧛☆17Updated 3 years ago
- insilico Pathway Activation Network Decomposition Analysis (iPANDA) package. Owned by Insilico Medicine Inc. iPANDA is a pathway analysis…☆25Updated 8 years ago
- Analysis and figure code from Alley et al. 2019.☆60Updated 2 years ago
- Protein function prediction using a variational autoencoder☆94Updated 7 years ago
- Python package and command line tool for epitope prediction☆51Updated last year
- ☆127Updated 4 years ago
- Machine learning workflows for analyzing high-throughput protein data☆26Updated 8 years ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability☆8Updated 6 years ago
- ☆34Updated 7 years ago
- The repository contains all the code for the paper amino acid encoding using deep learning application☆21Updated last year
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆52Updated this week
- DeepMass is a suite of tools to enable mass spectrometry data analysis using modern machine learning techniques.☆51Updated 3 years ago
- A deep learning framework for high-throughput mechanism-driven phenotype screening☆50Updated 4 years ago
- ☆47Updated 8 months ago
- Stochastic Sequence Propagation - A Keras Model for optimizing DNA, RNA and protein sequences based on a predictor☆49Updated 11 months ago
- ☆51Updated 5 years ago
- Code for the analyses in the human reference interactome paper.☆27Updated 2 years ago
- Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Jo…☆67Updated 2 years ago
- MusiteDeep provides a deep-learning method for general and kinase-specific phosphorylation site prediction. It is implemented by deep lea…☆48Updated this week
- Orientation of the protein-protein interaction network using network diffusion techniques☆15Updated 4 years ago
- Protein Identification with Deep Learning☆98Updated 4 years ago
- Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity☆72Updated 2 years ago