NanoStringDiff
Bioc currentDifferential Expression Analysis of NanoString nCounter Data
Release Lineage
Entered 3.2 · Oct 14, 2015
Current · Requires R 4.6
Description
This Package utilizes a generalized linear model(GLM) of the negative binomial family to characterize count data and allows for multi-factor design. NanoStrongDiff incorporate size factors, calculated from positive controls and housekeeping controls, and background level, obtained from negative controls, in the model framework so that all the normalization information provided by NanoString nCounter Analyzer is fully utilized.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
16 6 exported
Complexity
3.8 avg / 10 max
Call network
16 nodes / 11 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
3,709
Files
44
Compiled share
2.1%
Has compiled src
Yes
Language breakdown
API
Exported functions
13
Internal functions
0
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.12
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
–
System requirements
–
C++ standard
–
License
GPL
License flags
not SPDX, not OSI
History
Versions
22
First release
2015-10-13
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
1
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 92%
- Documented parameters
- 100%
- Return-value docs
- 60%
- References docs
- 8%
Topics
Depended on by (1)
Bioconductor (1)
People
tingting zhai