chenhcs / GIANTLinks
GIANT (Gene-based data Integration and ANalysis Technique) is a method for large-scale joint analyses of atlas-level single cell data.
☆14Updated 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 2 years ago
- SMILE: Mutual Information Learning for Integration of Single Cell Omics Data☆11Updated 2 years ago
- ☆11Updated 2 years ago
- ☆11Updated 2 years ago
- ☆12Updated 4 years ago
- Matrix factorization model for interpreting single cell gene expression in biologically heterogeneous data☆22Updated last year
- Learning motif contributions to cell transitions using sequence features and graphs.☆28Updated last year
- ☆19Updated 4 years ago
- Learning meaningful representations of genes☆20Updated 6 months ago
- ☆16Updated 2 years ago
- A sandbox for benchmarking detection of out-of-reference cells in single-cell genomics data☆13Updated last year
- Analysis of imbalanced data and its impacts in a scRNA-seq integration setting☆31Updated 10 months ago
- ☆17Updated last year
- A single-cell analysis toolkit to jointly analyze samples from distinct conditions☆34Updated 9 months ago
- ☆13Updated 11 months ago
- Code and example of the D-SPIN framework☆24Updated this week
- single-cell Nucleosome Methylation Transcription☆15Updated 7 years ago
- MOJITOO: a fast and universal method for integration of multimodal single cell data☆11Updated last year
- ☆12Updated 3 years ago
- ☆13Updated 9 months ago
- ☆15Updated 2 years ago
- python API to the CoGAPS NMF package☆19Updated 7 months ago
- Single Cell Pretrained Regulatory network INference from Transcripts☆11Updated last year
- Gene Expression Decomposition and Integration☆19Updated 10 months ago
- R package for transfer learning of single-cell RNA-seq denoising☆30Updated 3 years ago
- 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
- Breast Cancer Single Cell Atlas☆12Updated 3 years ago
- scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism☆18Updated last year
- ☆16Updated 10 months ago
- Toolbox of the Human Neural Organoid Cell Atlas☆27Updated 2 weeks ago