RPWNSC
0.1.0Run Purity Weighted Nearest Shrunken Centroid Feature Selection
Overview
Provides a classifier independent filter method for high-dimensional gene-expression feature selection. The Run Purity Weighted Nearest Shrunken Centroid ('RPWNSC') score ranks genes by multiplying a run based purity score, which measures the compactness of class labels after sorting samples by each feature, by a scaled nearest shrunken centroid score, which measures standardized class centroid separation relative to within class variation. The top ranked features can then be used with downstream classifiers without wrapper search, feature clustering, or classifier dependent training. 'Amjad Ali, Zardad Khan, Saeed Aldahmani' (2026) doi:10.1016/j.mlwa.2026.100947.
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Health
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-07-227 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
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- Documented parameters
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- Return-value docs
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- References docs
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Code & Tests
People & History
1 release. R releases are shown for context.
- 0.1.0Latest2026-07-21 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-21
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 0.6 KB / 1 file
- Download size
- not tracked yet
- Installed size
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- With dependencies
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