metrics: Basic scRNA-seq QC metrics from an ovarian tumor
In greenelab/miQC: Flexible, probabilistic metrics for quality control of scRNA-seq data
metrics R Documentation
Basic scRNA-seq QC metrics from an ovarian tumor
Description
Basic QC metrics from a high-grade serous ovarian cancer (HGSOC) sample.
The information included is the minimum needed to generate a miQC model and
make plots. Count data for the full tumor is available through GEO,
accession number GSM4816047.
Usage
metrics
Source
GEO Accession GSM4816047
greenelab/miQC documentation built on Jan. 6, 2023, 12:16 a.m.
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| metrics | R Documentation |
Basic scRNA-seq QC metrics from an ovarian tumor
Description
Basic QC metrics from a high-grade serous ovarian cancer (HGSOC) sample. The information included is the minimum needed to generate a miQC model and make plots. Count data for the full tumor is available through GEO, accession number GSM4816047.
Usage
metrics
Source
GEO Accession GSM4816047
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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