rvinas / adversarial-gene-expressionLinks
Adversarial generation of gene expression data using Generative Adversarial Networks
☆27Updated 3 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:
- CellBox: Interpretable Machine Learning for Perturbation Biology☆54Updated last year
- Knowledge-primed neural networks☆38Updated 2 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- Biological Network Integration using Convolutions☆62Updated last year
- ☆63Updated last year
- CMap Notebooks for LINCS 2020 Workshop☆46Updated 3 years ago
- ☆66Updated last year
- Models and datasets for perturbational single-cell omics☆152Updated 2 years ago
- MONET : MOdularising NEtwork Toolbox - https://doi.org/10.1093/bioinformatics/btaa236☆45Updated 3 years ago
- ☆27Updated 2 years ago
- ☆34Updated last month
- "Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks" by Peter K. Koo and Sean R. Eddy☆33Updated 5 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 4 years ago
- ☆28Updated last month
- ☆28Updated 4 years ago
- ☆38Updated last year
- Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit☆49Updated last year
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆34Updated 2 months ago
- Modeling of human 5′ UTRs enables the design of new sequences for target levels of translation and 5′ UTR variant prediction.☆48Updated 5 years ago
- repository containing analysis scripts and auxiliary files☆34Updated 5 years ago
- ☆48Updated 6 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☆48Updated 5 months ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 4 years ago
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 6 years ago
- ☆40Updated 4 years ago
- mygene is an easy-to-use Python wrapper to access MyGene.Info services.☆91Updated 5 months ago
- Network-based project to explore gene connectivity through biological scales☆23Updated 8 months ago
- Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools☆130Updated 2 years ago
- A Python toolkit for setting up benchmarking dataset using biomedical networks☆22Updated last month