Using single cell sequencing data to model the evolutionary history of a tumor

High-throughput ChIPmentation: Freely scalable, single day ChIPseq data generation from very low cell-numbers

6 p | 10 | 1

BERMUDA: A novel deep transfer learning method for single-cell RNA sequencing batch correction reveals hidden high-resolution cellular subtypes

15 p | 13 | 0

Splatter: Simulation of single-cell RNA sequencing data

15 p | 11 | 0

A generalization of t-SNE and UMAP to single-cell multimodal omics

9 p | 16 | 0

Gpps: An ILP-based approach for inferring cancer progression with mutation losses from single cell data

16 p | 14 | 0

Brain antibody sequence evaluation (BASE): An easy-to-use software for complete data analysis in single cell immunoglobulin cloning

10 p | 14 | 0