DatomicsGroup / deepbio
This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to applications of Deep Learning to biomedicine. Feel free to make a pull request to contribute to this list.
☆13Updated 4 years ago
Alternatives and similar repositories for deepbio:
Users that are interested in deepbio are comparing it to the libraries listed below
- A hybrid deep convolutional neural network for predicting chromatin accessibility☆24Updated 5 years ago
- ☆19Updated 4 years ago
- insilico Pathway Activation Network Decomposition Analysis (iPANDA) package. Owned by Insilico Medicine Inc. iPANDA is a pathway analysis…☆25Updated 7 years ago
- A deep-learning based multi-modal data integration suite that aims to achieve synesis in a flexible manner☆31Updated this week
- ☆19Updated 3 years ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- A deep learning approach for predicting high-confidence neoantigens by considering both the presentation possibilities of mutant peptides…☆41Updated last year
- MHC Class I and Class II neoantigen binding prediction☆28Updated last year
- a framework for predicting global protein-protein interaction networks from dynamic mass spec data☆23Updated 10 months ago
- Tool for Motif Deconvolution in large HLA-II ligand datasets without the need of prior alignment.☆13Updated this week
- ☆10Updated 3 years ago
- Deep learning model to predict degron sequences☆19Updated last year
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆17Updated 2 years ago
- An Improved Algorithm to Measure the Semantic Similarity of Gene Ontology Terms☆17Updated 4 years ago
- iDeep: integrated prediction of RNA-protein binding sites using deep learning☆39Updated 4 years ago
- Data Integration tool utilizing network information for predictive analyses☆16Updated last year
- predicting peptide and TCR interaction☆20Updated 4 years ago
- Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"☆50Updated 4 years ago
- ☆23Updated last year
- mRNN is an implementation of a Gated Recurrent Unit (GRU) network for classification of transcripts as either coding or noncoding.☆19Updated 6 years ago
- Standard set of data-loaders for training and making predictions for DNA sequence-based models.☆81Updated 5 months ago
- 🧛 Deep generative models for TCR sequences 🧛☆17Updated 2 years ago
- Single Cell Consensus Clustering with Speed☆20Updated 2 years ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability☆8Updated 5 years ago
- Knowledge-primed neural networks☆35Updated last year
- ☆10Updated 4 years ago
- Reproducibility for the "Harmonization and Annotation of Single-cell Transcriptomics data with Deep Generative Models" paper☆13Updated 2 years ago
- Comparison of Adaptive Immune Receptor Repertoires☆26Updated 3 weeks ago
- ☆17Updated 10 months ago