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 2 weeks 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☆56Updated 4 years 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☆62Updated last year
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- covolutional neural network based coexpression analysis☆79Updated 5 years ago
- Batch-adversarial variational auto-encoder (BAVARIA) for simultaneous dimensionality reduction and integration of single-cell ATAC-seq da…☆14Updated 2 years ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆51Updated last month
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆26Updated 2 years ago
- ☆19Updated 5 years ago
- Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)☆80Updated 3 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 5 years ago
- Code for the analyses in the human reference interactome paper.☆27Updated 2 years ago
- ☆19Updated 4 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- ☆23Updated 2 years ago
- Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data☆31Updated 2 months ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆19Updated last year
- CNN architecture for predicting DNA binding sites for Transcription Factors☆52Updated 6 years ago
- An accurate and efficient deep learning method for single-cell RNA-seq data imputation☆89Updated 3 years ago
- ☆17Updated 5 years ago
- Cancer Drug Response prediction using a Recommender System☆42Updated 2 years ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆46Updated 2 months ago
- Archetypal Analysis network (AAnet)☆37Updated 7 months ago
- Website for the 2021-2022 Caltech class Bi/BE/CS 183: Introduction to Computational Biology and Bioinformatics☆10Updated 3 years ago
- Core code for the paper "A deep learning model for drug response prediction from cancer genomic signatures and compound chemical structur…☆20Updated 4 years ago
- iDeep: integrated prediction of RNA-protein binding sites using deep learning☆39Updated 4 years ago
- CellBox: Interpretable Machine Learning for Perturbation Biology☆56Updated 2 years ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆11Updated 5 years ago
- Network-based project to explore gene connectivity through biological scales☆23Updated 11 months ago