Predicting the Survival Time for Bladder Cancer Using an Additive Hazards Model in Microarray Data

• Autori principali: Leili TAPAK (Autore), Hossein MAHJUB (Autore), Majid SADEGHIFAR (Autore), Massoud SAIDIJAM (Autore), Jalal POOROLAJAL (Autore)
• Natura: Libro
• Pubblicazione: Tehran University of Medical Sciences, 2016-02-01T00:00:00Z.
• Soggetti: article
• Accesso online: Connect to this object online.

Background: One substantial part of microarray studies is to predict patients' survival based on their gene expression profile. Variable selection techniques are powerful tools to handle high dimensionality in analysis of microarray data. However, these techniques have not been investigated in...