rvinas / adversarial-gene-expressionLinks
Adversarial generation of gene expression data using Generative Adversarial Networks
☆28Updated 4 years ago
Alternatives and similar repositories for adversarial-gene-expression
Users that are interested in adversarial-gene-expression are comparing it to the libraries listed below
Sorting:
- Biological Network Integration using Convolutions☆63Updated last year
- CellBox: Interpretable Machine Learning for Perturbation Biology☆56Updated 2 years ago
- ☆69Updated 2 months ago
- Knowledge-primed neural networks☆38Updated 2 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 3 years ago
- repository containing analysis scripts and auxiliary files☆36Updated 5 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- CMap Notebooks for LINCS 2020 Workshop☆49Updated 4 years ago
- MONET : MOdularising NEtwork Toolbox - https://doi.org/10.1093/bioinformatics/btaa236☆47Updated 4 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 4 years ago
- Batch-adversarial variational auto-encoder (BAVARIA) for simultaneous dimensionality reduction and integration of single-cell ATAC-seq da…☆14Updated 2 years ago
- mygene is an easy-to-use Python wrapper to access MyGene.Info services.☆95Updated 11 months ago
- covolutional neural network based coexpression analysis☆79Updated 5 years ago
- Semi-supervised adversarial neural networks for classification of single cell transcriptomics data☆76Updated 11 months ago
- ☆63Updated 2 years ago
- Conditional out-of-distribution prediction☆61Updated last year
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆51Updated 4 months ago
- Quantifying experimental perturbations at single cell resolution☆112Updated last year
- Companion to "A genome-wide almanac of co-essential modules assigns function to uncharacterized genes" (https://doi.org/10.1101/827071)☆27Updated 3 years ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 4 years ago
- ☆66Updated 5 months ago
- ☆86Updated 2 years ago
- A collection of scripts and tools for loading, processing, and handling single cell data.☆76Updated 3 months ago
- Code for the analyses in the human reference interactome paper.☆28Updated 3 years ago
- An accurate and efficient deep learning method for single-cell RNA-seq data imputation☆89Updated 3 years ago
- ☆33Updated 5 years ago
- Hypergraph Factorisation☆26Updated last year
- ☆18Updated last year
- Network-based project to explore gene connectivity through biological scales☆23Updated last year
- Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools☆136Updated 3 years ago