|
|
|
|
a bias-variance trade-off in the prediction error estimation behavior in bootstrap methods for microarray leukemia classification
|
|
|
|
|
|
|
|
نویسنده
|
mohammadpour reza ali ,golalizadeh mousa ,moharrami leila
|
|
منبع
|
journal of biostatistics and epidemiology - 2018 - دوره : 4 - شماره : 3 - صفحه:49 -54
|
|
چکیده
|
Background & aim: the bootstrap is a method that resample from the original data set. there are the wide ranges of bootstrap application for estimating the prediction error rate. we compare some bootstrap methods for estimating prediction error in classification and choose the best method for the microarray leukemia classification. methods & materials: the sample consist of n=38 patients with acute lymphoblastic leukemia (all) and acute myeloid leukemia (aml) with p=4120 genes that n<
|
|
کلیدواژه
|
bootstrap ,classification algorithms ,crossvalidation ,microarray ,prediction accuracy
|
|
آدرس
|
mazandaran university of medical sciences, faculty of health, biostatistics department, ایران, tarbiat modarres university, faculty of mathematical sciences, statistics department, ایران, mazandaran university of medical sciences, faculty of health, biostatistics department, ایران
|
|
پست الکترونیکی
|
moharami_137@yahoo.com
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Authors
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|