CpmERCCutoff
1.0.0Calculation of Log2 Counts per Million Cutoff from ERCC Controls
0packages depend
7.9Kdownloads / year
49.4%test coverage
12/13checks pass
Overview
About
Implementation of the empirical method to derive log2 counts per million (CPM) cutoff to filter out lowly expressed genes using ERCC spike-ins as described in Goll and Bosinger et.al (2022)doi:10.1101/2022.06.23.497396. This package utilizes the synthetic mRNA control pairs developed by the External RNA Controls Consortium (ERCC) (ERCC 1 / ERCC 2) that are spiked into sample pairs at known ratios at various absolute abundances. The relationship between the observed and expected fold changes is then used to empirically determine an optimal log2 CPM cutoff for filtering out lowly expressed genes.
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Health
CRAN checks
1NOTE12OK
Failing flavors
- NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 59 s · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.11
49.4%
Coverage · measured lines
100%
Documentation · exports
2
Dependencies · direct
Check history
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
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- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
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- References docs
- 0%
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Dependencies
Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.6
Imports (2)
statsgraphics
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none
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Code & Tests
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Listed in earlier versions (2)
no longer listed · 1.0.0
no longer listed · 1.0.0
Package Timeline
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
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Package metadata
- First published
- 2022-09-13
- Total releases
- 1 / 4 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.6
- Bundled data
- 26 KB / 3 files
- Download size
- 52 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet