Package: nanostringr 0.4.2

Derek Chiu

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

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.

Authors:Derek Chiu [aut, cre], Aline Talhouk [aut], Samuel Leung [aut]

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nanostringr.pdf |nanostringr.html
nanostringr/json (API)
NEWS

# Install 'nanostringr' in R:
install.packages('nanostringr', repos = c('https://talhouklab.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/talhouklab/nanostringr/issues

Datasets:
  • expQC - Expression QC data
  • hld.r - NanoString Experiment Cohorts
  • hlo.r - NanoString Experiment Cohorts
  • ovc.r - NanoString Experiment Cohorts
  • ovd.r - NanoString Experiment Cohorts
  • ovo.r - NanoString Experiment Cohorts

On CRAN:

4.48 score 5 stars 12 scripts 727 downloads 9 exports 29 dependencies

Last updated 5 months agofrom:5679542908. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-winOKNov 19 2024
R-4.5-linuxOKNov 19 2024
R-4.4-winOKNov 19 2024
R-4.4-macOKNov 19 2024
R-4.3-winOKNov 19 2024
R-4.3-macOKNov 19 2024

Exports:CCplotHKnormNanoStringQCnormalize_poolsnormalize_randomparse_attributesparse_countsread_rccrefMethod

Dependencies:assertthatccaPPclicpp11DEoptimRdplyrfansigenericsgluelifecyclemagrittrmvtnormpcaPPpillarpkgconfigpurrrR6RcppRcppArmadillorlangrobustbasestringistringrtibbletidyrtidyselectutf8vctrswithr

nanostringr Package

Rendered fromOverview.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2022-05-24
Started: 2016-09-08