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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.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001006984 Illumina HiSeq 4000 4
Publications Citations
miQC: An adaptive probabilistic framework for quality control of single-cell RNA-sequencing data.
PLoS Comput Biol 17: 2021 e1009290
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