DatomicsGroup / deepbioLinks
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.
☆15Updated 4 months ago
Alternatives and similar repositories for deepbio
Users that are interested in deepbio are comparing it to the libraries listed below
Sorting:
- Python Implementation of SIMLR for single-cell visualization and analysis☆24Updated 3 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆55Updated 4 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆52Updated 4 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆20Updated last year
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆25Updated 2 years ago
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 5 years ago
- covolutional neural network based coexpression analysis☆79Updated 5 years ago
- Network-based project to explore gene connectivity through biological scales☆23Updated last year
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 3 years ago
- An accurate and efficient deep learning method for single-cell RNA-seq data imputation☆89Updated 3 years ago
- Archetypal Analysis network (AAnet)☆39Updated 11 months ago
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆12Updated 4 years ago
- Biological Network Integration using Convolutions☆63Updated 2 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 5 years ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 4 years ago
- ☆17Updated 5 years ago
- A deep-learning framework for multi-omics integration☆31Updated 2 years ago
- repository containing analysis scripts and auxiliary files☆36Updated 5 years ago
- CellBox: Interpretable Machine Learning for Perturbation Biology☆56Updated 2 years ago
- ☆16Updated 3 years ago
- Batch-adversarial variational auto-encoder (BAVARIA) for simultaneous dimensionality reduction and integration of single-cell ATAC-seq da…☆14Updated 2 years ago
- ☆20Updated 5 years ago
- ☆19Updated 4 years ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆52Updated 5 months ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆60Updated 2 weeks ago
- Knowledge-primed neural networks☆38Updated 2 years ago
- CNN architecture for predicting DNA binding sites for Transcription Factors☆52Updated 6 years ago
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 7 years ago
- Drug Response Prediction and Biomarker Discovery Using Multi-Modal Deep Learning☆14Updated last year
- Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)☆80Updated 4 years ago