Single-cell RNA-seq data from metastatic ovarian cancer for quality control study
Quality control is a crucial preliminary step in any single-cell RNAseq experiment, where hard thresholds are commonly used. In order to develop a methodology for a more precise cell filtering in the early steps of a scRNAseq data analysis, we collected tissue samples before chemotherapy from 4 patients.
- Type: Other
- Archiver: European Genome-Phenome Archive (EGA)
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
|Illumina HiSeq 4000
miQC: An adaptive probabilistic framework for quality control of single-cell RNA-sequencing data.
PLoS Comput Biol 17: 2021 e1009290