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SimSel - a new simu...
SimSel - a new simulation feature selection method I
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- Eklund, Martin (author)
- Uppsala universitet,Institutionen för farmaceutisk biovetenskap,Bioinformatik,Matematisk statistik,Farmakologi
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- Zwanzig, Silvelyn (author)
- Uppsala universitet,Bioinformatik,Matematisk statistik,matematiska statistik
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(creator_code:org_t)
- Uppsala University, 2007
- English.
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Series: U.U.D.M. Report, 1101-3591 ; 2007:65
- Related links:
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https://urn.kb.se/re...
Abstract
Subject headings
Close
- In pharmaceutical research there are datasets describing the interactions between proteins and molecules. The datasets include a huge number of independent variables (features) and the response variable is typically the binding strength. Thus, one of the most challenging problems is to find the features that have a real influence on the binding strength.Here we present a feature selection method. The principle of the algorithm is to disturb each single feature by adding pseudo errors and to study the influence on the quality of the model fit.The main idea is that the change of unimportant features has no effect on the binding strength.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Farmakologi och toxikologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Pharmacology and Toxicology (hsv//eng)
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
Keyword
- variable selection
- model choice
- regression
- simulation method
- pseudoerrors
- SIMEX
- residual sum of squares
- Pharmaceutical pharmacology
- Farmaceutisk farmakologi
- Mathematical statistics
- Matematisk statistik
Publication and Content Type
- vet (subject category)
- rap (subject category)
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