vitmy0000 / SENSE
Siamese neural network for sequence embedding
☆20Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for SENSE
- Homology reduced UniProt, train-/valid-/testsets for language modeling☆16Updated 2 years ago
- iDeepV: predicting RBP binding sites using vector representation learned from sequences with a CNN.☆10Updated 5 years ago
- iDeep: integrated prediction of RNA-protein binding sites using deep learning☆39Updated 4 years ago
- Chromatin Accessibility Prediction via Convolutional Long Short-Term Memory Networks with k-mer Embedding☆14Updated 6 years ago
- Interpretation by Deep Generative Masking for Biological Sequences☆36Updated 2 years ago
- A convolutional neural network to predict PPI interactions☆41Updated 6 years ago
- CapsNet for Protein Post-translational Modification site prediction.☆25Updated 5 years ago
- End-to-end deep learning toolkit for predicting protein binding sites and motifs.☆44Updated 5 years ago
- Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification☆33Updated 3 years ago
- Amino Acid Embedding Representation as Machine Learning Features☆19Updated 6 years ago
- Deep learning based alignment-free method for protein family modeling and prediction☆17Updated 6 years ago
- ☆29Updated last year
- Disease pathways in the human interactome☆23Updated 6 years ago
- A mini-framework to build and train neural networks for molecular biology.☆10Updated 6 years ago
- DeepMetabolism is a deep learning algorithm to predict phenotype from genome sequencing☆31Updated 7 years ago
- Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data☆25Updated 7 months ago
- insilico Pathway Activation Network Decomposition Analysis (iPANDA) package. Owned by Insilico Medicine Inc. iPANDA is a pathway analysis…☆25Updated 7 years ago
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆17Updated 2 years ago
- For MHC-I protein-peptide binding predictions: Deep Learning model with CNN and Snakemake workflow☆12Updated 6 years ago
- Supplementary data for the ACME algorithm☆22Updated 2 years ago
- Bioinformatics16: DeepChrome: Deep-learning for predicting gene expression from histone modifications☆62Updated 3 years ago
- DLPRB: A Deep Learning Approach for Predicting Protein-RNA Binding☆13Updated 5 years ago
- Protein function prediction using a variational autoencoder☆92Updated 6 years ago
- Function prediction using a deep ontology-aware classifier☆80Updated 2 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆71Updated 6 months ago
- Methods for mapping genomic data onto 3D protein structure.☆28Updated 2 years ago
- ☆19Updated 4 years ago
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆48Updated 6 months ago
- Categorical Variational Autoencoders☆23Updated 2 years ago
- Sequence data label generation and ingestion into deep learning models☆12Updated 3 years ago