Resampling methods for variance estimation of singular value decomposition analyses from microarray experiments
نویسندگان
چکیده
منابع مشابه
Singular Value Decomposition Regression Models for Classification of Tumors from Microarray Experiments
An important problem in the analysis of microarray data is correlating the high-dimensional measurements with clinical phenotypes. In this paper, we develop predictive models for associating gene expression data from microarray experiments with such outcomes. They are based on the singular value decomposition. We propose new algorithms for performing gene selection and gene clustering based on ...
متن کاملSynthetic Resampling Methods for Variance Estimation in Parametric Images
Parametric imaging procedures ooer the possibility of comprehensive assessment of tissue metabolic activity. Estimating variances of these images is important for the development of inference procedures in a diagnostic setting. Unfortunately, the complexity of the radio-tracer models used in the generation of a parametric image makes analytic variance expressions intractable. A natural extensio...
متن کاملپیشنهاد روش جدیدی برای محاسبه polynomial singular value decomposition ) psvd )
در این پایان نامه به معرفی روشهای مختلف محاسبه psvd می پردازیم. بخشی از این روشها به بررسی روشهای مختلف محاسبه psvd در مقالات مطالعه شده می پردازد که می توان به محاسبهpsvd با استفاده از الگوریتمهای pqrd و pevd و sbr2 و محاسبه psvd براساس تکنیک kogbetliantz و روش پارامتریک برای محاسبه psvd اشاره نمود. بخش بعدی نیز به بررسی روشهای مستقیم پیشنهادی محاسبه psvd برای ماتریسهای 2×2و2× n و n×2 و 3× n و...
15 صفحه اولOFDM channel estimation by singular value decomposition
A new approach to low-complexity channel estimation in orthogonal-frequency division multiplexing (OFDM) systems is proposed. A lowrank approximation is applied to a linear minimum mean-squared error (LMMSE) estimator that uses the frequency correlation of the channel. By using the singular-value decomposition (SVD) an optimal low-rank estimator is derived, where performance is essentially pres...
متن کاملRobust singular value decomposition analysis of microarray data.
In microarray data there are a number of biological samples, each assessed for the level of gene expression for a typically large number of genes. There is a need to examine these data with statistical techniques to help discern possible patterns in the data. Our technique applies a combination of mathematical and statistical methods to progressively take the data set apart so that different as...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Functional & Integrative Genomics
سال: 2002
ISSN: 1438-793X,1438-7948
DOI: 10.1007/s10142-002-0047-5