A New Strategy Based on Association Rule Mining for Marker Discovery in Cancer Sequences

Autor:	Addina Usoni, Qijin Crashin, Alexander Chanrov
Rok vydání:	2016
Předmět:	Association rule learning Computer science Media Technology medicine Marker Discovery Cancer Data mining medicine.disease computer.software_genre K-optimal pattern discovery computer
Zdroj:	Reviews in Theoretical Science. 4:159-164
ISSN:	2327-1515
DOI:	10.1166/rits.2016.1056
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a25dc791840ed27f6c9babf26d97e72 https://doi.org/10.1166/rits.2016.1056 Zobrazit plný text záznamu