Towards classification of ovarian cancer via micro-arrays data analysis

Autor:	diego liberati
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	k-means bioinformatica cascading methods componenti principali shrinking
Zdroj:	info:cnr-pdr/source/autori:diego liberati/titolo:Towards classification of ovarian cancer via micro-arrays data analysis/titolo_volume:/curatori_volume:/editore:/anno:2020
Popis:	The classification of micro-arrays data relative to ovarian cancer is approached without using any a priori information via a specially designed technique, consisting of cascading two clustering algorithms, namely PDDP, recalled, and well known K-means. Then validation is made by investigating correlations between the obtained clustering and the a priori clinical classification, possibly suggesting new and useful information on the investigated disease
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=cnr_________::32b841741a78c113eef643209bb309d2 http://www.cnr.it/prodotto/i/421511 Zobrazit plný text záznamu