مشخصات پژوهش

صفحه نخست /Wavelet-based gene selection ...
عنوان
Wavelet-based gene selection method for survival prediction in diffuse large B-cell lymphomas patients
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
survival analysis; gene selection; one-dimensional wavelet transform; microarray data; DLBCL; diffuse large B-cell lymphoma
چکیده
Abstract:Microarray technology allows simultaneous measurements of expression levels for thousands of genes. An important aspect of microarray studies includes the prediction of patient survival based on their gene expression profile. This naturally callsfor the use of a dimension reduction procedure together with the survival prediction model. In this study, a new method based on wavelet transform for survival-relevant gene selection is presented. Cox proportional hazard model is typically used to build prediction model for patients’ survival using the selected genes. The prediction model will be evaluated with the R2 , concordance index, likelihood ratio statistic and Akaike information criteria. The results proved that good performance of survival prediction is achieved based on the selected genes. The results suggested the possibility of developing more advanced tools based on wavelets for gene selection from microarray data sets in the context of survival analysis.
پژوهشگران مریم فرهادیان (آمار) (نفر اول)، حسین محجوب (نفر دوم)