cantinilab / momix-notebook
☆65Updated last year
Alternatives and similar repositories for momix-notebook:
Users that are interested in momix-notebook are comparing it to the libraries listed below
- ☆98Updated last year
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆49Updated 3 years ago
- ☆53Updated 11 months ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆37Updated 2 years ago
- ☆49Updated 5 years ago
- ☆54Updated 2 years ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 3 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago
- Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit☆49Updated last year
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆48Updated last month
- Deep Learning based cell composition analysis with Scaden.☆76Updated 4 months ago
- cTPnet Package☆24Updated 2 years ago
- ACTIONet single-cell analysis framework☆38Updated 6 months ago
- MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations☆74Updated 4 months ago
- An accurate and efficient deep learning method for single-cell RNA-seq data imputation☆88Updated 3 years ago
- BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.☆30Updated 5 years ago
- Python 2.7 implementation of network-based stratification (NBS) algorithm from Hofree et al (Nature Methods 2013)☆37Updated 5 months ago
- ☆90Updated 4 years ago
- ☆45Updated 2 years ago
- Codebase for PRESCIENT (Potential eneRgy undErlying Single Cell gradIENTs) for generative modeling of single-cell time-series.☆46Updated 2 months ago
- resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…☆12Updated 2 years ago
- ☆16Updated 3 years ago
- ☆31Updated 2 months ago
- Accurate and robust imputation of scRNA-seq data☆95Updated 5 years ago
- ☆55Updated 4 months ago
- ☆55Updated 4 years ago
- ☆14Updated 2 years ago
- Multi-omics integration method using AE and GCN☆34Updated last year
- Additional code and analysis from the single-cell integration benchmarking project☆59Updated 2 years ago
- Reproducing result from the paper☆33Updated 3 years ago