Clustering Gene Expression Data Based on Minimization of Within-Class Covariance Matrix

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Data Selection for Within-Class Covariance Estimation

Methods for performing channel and session compensation in conjunction with subspace techniques have been a focus of considerable study recently and have led to significant gains in speaker recognition performance. While developers have typically exploited the vast archive of speaker labeled data available from earlier NIST evaluations to train the within-class and across-class covariance matri...

متن کامل

Problems in gene clustering based on gene expression data

In this work, we assess the suitability of cluster analysis for the gene grouping problem confronted with microarray data. Gene clustering is the exercise of grouping genes based on attributes, which are generally the expression levels over a number of conditions or subpopulations. The hope is that similarity with respect to expression is often indicative of similarity with respect to much more...

متن کامل

Clustering of Gene Expression Data Based on Shape Similarity

A method for gene clustering from expression profiles using shape information is presented. The conventional clustering approaches such as K-means assume that genes with similar functions have similar expression levels and hence allocate genes with similar expression levels into the same cluster. However, genes with similar function often exhibit similarity in signal shape even though the expre...

متن کامل

Evaluation of Clustering Based on Preprocessing in Gene Expression Data

Microarrays have become the effective, broadly used tools in biological and medical research to address a wide range of problems, including classification of disease subtypes and tumors. Many statistical methods are available for analyzing and systematizing these complex data into meaningful information, and one of the main goals in analyzing gene expression data is the detection of samples or ...

متن کامل

Gene Expression Data Clustering Based on Local Similarity Combination

Clustering is widely used in gene expression analysis, which helps to group genes with similar biological function together. The traditional clustering techniques are not suitable to be directly applied to gene expression time series data, because of the inhered properties of local regulation and time shift. In order to cope with the existing problems, the local similarity and time shift, we ha...

متن کامل

ذخیره 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: Transactions of the Society of Instrument and Control Engineers

سال: 2003

ISSN: 0453-4654

DOI: 10.9746/sicetr1965.39.607