jingshuw / SAVERX
R package for transfer learning of single-cell RNA-seq denoising
☆29Updated 2 years ago
Related projects: ⓘ
- ☆10Updated last year
- netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data☆22Updated 3 years ago
- Scripts for data and figure generation in SAVER paper☆17Updated 3 years ago
- CiteFuse:☆26Updated last year
- Regulatory networks with Direct Information in python☆38Updated last year
- Multi-study integration of cellular trajectories☆18Updated 4 years ago
- benchmark for single-cell RNA-seq imputation methods☆23Updated 6 months ago
- Code for Universal Single-Cell Matching with Unpaired Feature Sets☆19Updated 3 years ago
- Marker Selection by matching manifolds and elastic net☆23Updated 8 months ago
- Scalable sequence-informed embedding of single-cell ATAC-seq data with CellSpace☆30Updated 6 months ago
- Inferring cell-cell interactions from pseudotime ordering of scRNA-Seq data☆24Updated last year
- NATMI: Network Analysis Toolkit for the Multicellular Interactions☆33Updated 3 years ago
- A computational method scSemiProfiler that provides affordable single-cell data for large-scale disease cohorts using deep generative mod…☆11Updated last month
- ☆26Updated 8 months ago
- Reproducibility code for the manuscript: 'Inferring and perturbing cell fate regulomes in human cerebral organoids☆24Updated last year
- Information-based dimensionality reduction☆29Updated 3 weeks ago
- A deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batch…☆34Updated 2 years ago
- A single-cell analysis toolkit to jointly analyze samples from distinct conditions☆18Updated last week
- scMEGA: Single-cell Multiomic Enhancer-based Gene regulAtory network inference☆36Updated 2 months ago
- Gene Set + S2G strategy annotations analyzed for disease architecture☆46Updated last year
- Imputation method for scRNA-seq based on low-rank approximation☆72Updated 9 months ago
- ☆25Updated 3 years ago
- Covarying neighborhood analysis (CNA) is a method for finding structure in- and conducting association analysis with multi-sample single-…☆45Updated 11 months ago
- Analysis of imbalanced data and its impacts in a scRNA-seq integration setting☆27Updated 3 months ago
- Mosaic single cell data integration using non-overlapping features☆34Updated last year
- Automated marker-based annotation of cell types☆13Updated 2 years ago
- Dynamical systems methods for RNA velocity analysis☆23Updated 3 years ago
- cTPnet Package☆23Updated 2 years ago
- Analysis cell-type-specific functional gene network, with SCINET and HumanNetv3☆38Updated 6 months ago
- Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data☆26Updated 4 years ago