SindiLab / ACTIVALinks
The main repository for ACTIVA: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective variational autoencoders
☆11Updated 2 years ago
Alternatives and similar repositories for ACTIVA
Users that are interested in ACTIVA are comparing it to the libraries listed below
Sorting:
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 2 years ago
- Python package for integrating and analyzing multiple single-cell datasets (A Python version of LIGER)☆30Updated 6 months ago
- Regulatory networks with Direct Information in python☆40Updated 2 years ago
- Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysis☆46Updated 5 years ago
- scRNAseq integration with triplet neural networks☆41Updated 2 years ago
- Imputation method for scRNA-seq based on low-rank approximation☆77Updated last year
- Low-dimensional Projection of Single Cell Velocity☆28Updated 3 years ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆32Updated 3 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆26Updated 2 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 5 years ago
- An accurate and efficient deep learning method for single-cell RNA-seq data imputation☆89Updated 3 years ago
- CeSpGRN: Inferring cell specific GRN using single-cell gene expression data☆20Updated last year
- ACTIONet single-cell analysis framework☆43Updated last year
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- ☆26Updated 5 months ago
- ☆56Updated last year
- Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"☆65Updated 5 years ago
- TIDE (Tumor Immune Dysfunction and Exclusion), a gene expression biomarker to predict the clinical response to immune checkpoint blockade…☆35Updated 3 years ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆44Updated 2 years ago
- A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.☆61Updated last year
- Semi-supervised adversarial neural networks for classification of single cell transcriptomics data☆76Updated 10 months ago
- Reproducing result from the paper☆34Updated 4 years ago
- ☆19Updated 4 years ago
- Spatially-resolved Transcriptomics via Epitope Anchoring☆19Updated last year
- ☆19Updated 4 years ago
- Quasilinear data representations for single-cell omics data analysis☆43Updated 2 years ago
- Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.☆66Updated 4 months ago
- A novel computational method for inferring cell-type-specific signaling networks using single-cell transcriptomics data for better charac…☆43Updated last month
- Predicted cell-cell interactions of the aging mouse brain☆20Updated 6 years ago
- cTPnet Package☆26Updated 3 years ago