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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NEWS

Peer review:

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

On CRAN:

9 exports 5 stars 1.30 score 29 dependencies 11 scripts 866 downloads

Last updated 3 months agofrom:5679542908. Checks:OK: 7. Indexed: yes.

Exports:CCplotHKnormNanoStringQCnormalize_poolsnormalize_randomparse_attributesparse_countsread_rccrefMethod

Dependencies:assertthatccaPPclicpp11DEoptimRdplyrfansigenericsgluelifecyclemagrittrmvtnormpcaPPpillarpkgconfigpurrrR6RcppRcppArmadillorlangrobustbasestringistringrtibbletidyrtidyselectutf8vctrswithr