CRAN

nanostringr 0.1.4

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

Released May 9, 2019 by Derek Chiu

This package cannot yet be used with Renjin it depends on other packages which are not available: ccaPP 0.3.2, purrr 0.3.2, dplyr 0.8.0.1, and rlang 0.3.4

Dependencies

dplyr 0.8.0.1 rlang 0.3.4 purrr 0.3.2 ccaPP 0.3.2 magrittr 1.5 assertthat 0.2.1 epiR 0.9-99

Provides quality control (QC), normalization, and batch effect correction operations for 'NanoString nCounter' data, Talhouk et al. (2016) . 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.

Source

R

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