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.
☆22Updated 7 months ago
Alternatives and similar repositories for Matilda
Users that are interested in Matilda are comparing it to the libraries listed below
Sorting:
- ☆60Updated last year
- ☆51Updated 10 months ago
- CeLEry: cell location recovery in single-cell RNA sequencing☆37Updated 11 months ago
- cTPnet Package☆27Updated 3 years ago
- ☆20Updated last year
- scMEGA: Single-cell Multiomic Enhancer-based Gene regulAtory network inference☆44Updated last year
- ☆43Updated 3 years ago
- Reproducing result from the paper☆34Updated 4 years ago
- MOJITOO: a fast and universal method for integration of multimodal single cell data☆11Updated last year
- ☆62Updated 2 years ago
- ACTIONet single-cell analysis framework☆44Updated last year
- Quasilinear data representations for single-cell omics data analysis☆43Updated 2 years ago
- scLearn:Learning for single cell assignment☆35Updated last year
- Methods for visualization and analysis of spatially-resolved gene expression☆21Updated 5 months ago
- Reproducibility code for the manuscript: 'Inferring and perturbing cell fate regulomes in human cerebral organoids☆30Updated 2 years ago
- Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data☆28Updated 5 years ago
- SPROD: Spatial expression profiling de-noising☆36Updated 2 years ago
- NATMI: Network Analysis Toolkit for the Multicellular Interactions☆35Updated 4 years ago
- Collection of scripts for analysis of pan fetal immune atlas☆29Updated 3 years ago
- Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets☆32Updated 2 years ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆32Updated 3 years ago
- Gene group activity utility functions for Scanpy☆100Updated last year
- An unsupervised approach for the integrative analysis of single-cell multi-omics data☆31Updated 5 years ago
- A novel computational method for inferring cell-type-specific signaling networks using single-cell transcriptomics data for better charac…☆44Updated 3 months ago
- ☆17Updated last year
- Analysis of imbalanced data and its impacts in a scRNA-seq integration setting☆31Updated 10 months ago
- Analysis cell-type-specific functional gene network, with SCINET and HumanNetv3☆45Updated 4 months ago
- ☆34Updated 9 months ago
- Imputation method for scRNA-seq based on low-rank approximation☆77Updated 2 years ago
- Robust Integration of Single-Cell Cytometry Datasets☆32Updated 5 months ago