nanostringr0.4.2 package

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

CCplot

Concordance Correlation Plot

cohort

NanoString Experiment Cohorts

HKnorm

Normalization to Housekeeping Genes

NanoStringQC

QC metrics for NanoString Data

nanostringr-package

nanostringr: Performs Quality Control, Data Normalization, and Batch E...

normalize_pools

Normalize data using common pools

normalize_random

Normalize data using random reference samples

rcc

Read NanoString RCC files

refMethod

Reference-based approach for batch adjustment

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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.

  • Maintainer: Derek Chiu
  • License: MIT + file LICENSE
  • Last published: 2024-06-11

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