expQC

<p>Quality control metrics for the five cohorts analyzed in NanoString
experiments.</p>

Provides quality control (QC), normalization, and batch
effect correction operations for 'NanoString nCounter' data, Talhouk
et al. (2016) <doi:10.1371/journal.pone.0153844>.  Various metrics are
used to determine which samples passed or failed QC.  Gene expression
should first be normalized to housekeeping genes, before a
reference-based approach is used to adjust for batch effects.  Raw
NanoString data can be imported in the form of Reporter Code Count
(RCC) files.

Derek Chiu

nanostringr

Performs Quality Control, Data Normalization, and Batch Effect
Correction for 'NanoString nCounter' Data

Aline Talhouk

Samuel Leung

expQC function

<p>A data frame with 561 rows and 23 columns.</p>

expQC: Expression QC data

Description

Arguments

Format

Details

See Also