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Article

Identifying a small set of marker genes using minimum expected cost of misclassification.

Artificial intelligence in medicine - 1 May 2012

Huang Samuel H, Mo Dengyao, Meller Jarek, Wagner Michael

Abstract excerpt

OBJECTIVES: This paper presents a model independent feature selection approach to identify a small subset of marker genes. METHODS AND MATERIAL: An evaluation measure, minimum expected cost of misclassification (MEMC), is used to estimate the discriminative power of a feature subset without building a model. The MECM measure is combined with sequential forward search for feature selection. This approach was...

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Identifiers

PMID: 22387186
DOI: 10.1016/j.artmed.2012.01.004

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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