PYangLab / MatildaLinks
Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-modality of such data and trains a neural network model to simultaneously learn multiple tasks including data simulation, dimension reduction, visualization, classification, and feature selection.
☆21Updated last month
Alternatives and similar repositories for Matilda
Users that are interested in Matilda are comparing it to the libraries listed below
Sorting:
- ☆55Updated last year
- ☆49Updated 4 months ago
- scMEGA: Single-cell Multiomic Enhancer-based Gene regulAtory network inference☆40Updated 9 months ago
- ☆44Updated 3 years ago
- ☆16Updated last year
- ☆17Updated 11 months ago
- CeLEry: cell location recovery in single-cell RNA sequencing☆35Updated 5 months ago
- ☆59Updated 10 months ago
- ☆31Updated 3 months ago
- Reproducing result from the paper☆34Updated 4 years ago
- Quasilinear data representations for single-cell omics data analysis☆42Updated 2 years ago
- TIDE (Tumor Immune Dysfunction and Exclusion), a gene expression biomarker to predict the clinical response to immune checkpoint blockade…☆35Updated 2 years ago
- ACTIONet single-cell analysis framework☆42Updated 10 months ago
- Analysis cell-type-specific functional gene network, with SCINET and HumanNetv3☆43Updated last month
- Gene group activity utility functions for Scanpy☆79Updated 6 months ago
- An unsupervised approach for the integrative analysis of single-cell multi-omics data☆29Updated 4 years ago
- ☆18Updated 2 years ago
- Methods for visualization and analysis of spatially-resolved gene expression☆20Updated last month
- Scalable sequence-informed embedding of single-cell ATAC-seq data with CellSpace☆41Updated 6 months ago
- ☆41Updated last month
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆40Updated 2 years ago
- Reproducibility code for the manuscript: 'Inferring and perturbing cell fate regulomes in human cerebral organoids☆28Updated last year
- Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.☆63Updated last week
- cTPnet Package☆25Updated 3 years ago
- ☆55Updated 11 months ago
- Bi-order integration (in silico multi-omics data) of single cell RNA sequencing, single cell ATAC sequencing, spacial transcriptomics and…☆35Updated last year
- Materials and scripts for building cell type encyclopedia table☆19Updated 6 months ago
- ☆56Updated last year
- Imputation method for scRNA-seq based on low-rank approximation☆78Updated last year
- scLearn:Learning for single cell assignment☆35Updated 7 months ago