chenhcs / GIANTLinks
GIANT (Gene-based data Integration and ANalysis Technique) is a method for large-scale joint analyses of atlas-level single cell data.
☆12Updated 2 years ago
Alternatives and similar repositories for GIANT
Users that are interested in GIANT are comparing it to the libraries listed below
Sorting:
- ☆12Updated last year
- SMILE: Mutual Information Learning for Integration of Single Cell Omics Data☆11Updated 2 years ago
- A sandbox for benchmarking detection of out-of-reference cells in single-cell genomics data☆13Updated 11 months ago
- ☆12Updated 4 years ago
- ☆16Updated 2 years ago
- MOJITOO: a fast and universal method for integration of multimodal single cell data☆11Updated 11 months ago
- ☆12Updated 2 years ago
- python API to the CoGAPS NMF package☆19Updated 4 months ago
- Integrating temporal gene expression modalities for trajectory inference and disease prediction☆10Updated 3 years ago
- Learning motif contributions to cell transitions using sequence features and graphs.☆28Updated last year
- Python package with CLI for the analysis of single cell methylation data. Now known as MethSCAn: https://github.com/anders-biostat/MethSC…☆12Updated last year
- ☆18Updated 4 years ago
- A single-cell analysis toolkit to jointly analyze samples from distinct conditions☆32Updated 5 months ago
- ☆10Updated 2 years ago
- Learning meaningful representations of genes☆19Updated 2 months ago
- Code, data and analysis for moslin.☆14Updated 11 months ago
- The million-scale method for single-cell analysis☆10Updated 2 years ago
- Matrix factorization model for interpreting single cell gene expression in biologically heterogeneous data☆22Updated last year
- ☆13Updated 5 months ago
- ☆10Updated 2 years ago
- Analysis of imbalanced data and its impacts in a scRNA-seq integration setting☆30Updated 6 months ago
- R package for transfer learning of single-cell RNA-seq denoising☆30Updated 3 years ago
- ☆12Updated 4 years ago
- ☆17Updated last year
- Reworked clustering metrics for assessing performance in imbalanced settings☆16Updated last year
- Gene Expression Decomposition and Integration☆19Updated 7 months ago
- R package for generalized binary covariance decomposition.☆10Updated 2 months ago
- R package that performs sparse factor analysis and differential gene expression discovery simultaneously on single-cell CRISPR screening …☆22Updated last year
- Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT)☆21Updated 6 months ago
- ☆13Updated 8 months ago