Feature selection methods in application to gene expression: autism data

• Autorzy: Latkowski T , Osowski S.

Warianty tytułu

PL

Metody selekcji cech diagnostycznych w zastosowaniu do ekspresji genów: baza danych autyzmu

• Języki publikacji: PL

Abstrakty

PL

Praca prezentuje badanie wybranych metod selekcji cech diagnostycznych w celu wyodrębnienia najbardziej znaczących sekwencji genowych z mikromacierzy ekspresji genów dotyczącej autyzmu. Dla wyselekcjonowanych cech przeanalizowano wartości poziomów ekspresji genów. W kolejnym etapie dokonano fuzji wyselekcjonowanych cech. Optymalny zbiór cech wyznaczono na podstawie czystości przestrzeni klasteryzacji.

EN

The paper presents the application of several different feature selection methods for recognizing the most significant genes and gene sequences (treated as features) stored in dataset of gene expression microarray related to autism. The outcomes of each method have been examined by analyzing gene expression profiles of selected genes. In the next step fusion of the most relevant features selected by different methods, has been implemented. The optimal number of features has been defined as the set providing the best clustering purity.

Słowa kluczowe

PL

selekcja cech; mikromacierz; ekspresja genów; klasteryzacja; autyzm

EN

feature selection; gene expression array; clustering; autism

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2014
• Tom: R. 90, nr 8
• Strony: 199--204
• Opis fizyczny: Bibliogr. 23 poz., rys., tab., wykr.

Twórcy

autor

Latkowski T

• Military University of Technology

autor

Osowski S.

• Warsaw University of Technology, Military University of Technology

Bibliografia

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