Analyzing Time-Course Microarray Data Using Functional Data Analysis - A Review
نویسندگان
چکیده
منابع مشابه
Analyzing microarray data using cluster analysis.
As pharmacogenetics researchers gather more detailed and complex data on gene polymorphisms that effect drug metabolizing enzymes, drug target receptors and drug transporters, they will need access to advanced statistical tools to mine that data. These tools include approaches from classical biostatistics, such as logistic regression or linear discriminant analysis, and supervised learning meth...
متن کاملAnalyzing microarray data using CLANS
UNLABELLED Analysis of microarray experiments is complicated by the huge amount of data involved. Searching for groups of co-expressed genes is akin to searching for protein families in a database as, in both cases, small subsets of genes with similar features are to be found within vast quantities of data. CLANS was originally developed to find protein families in large sets of amino acid sequ...
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Identification of differentially expressed (DE) genes across two conditions is a common task with microarray. Most existing approaches accomplish this goal by examining each gene separately based on a model and then control the false discovery rate over all genes. We took a different approach that employs a uniform platform to simultaneously depict the dynamics of the gene trajectories for all ...
متن کاملDynamic Modelling of Microarray Time Course Data
The analysis of gene expression profiles, obtained from DNA microarray experiments, is used to discover relationships between genes and to discern groups of genes involved common processes. The principal aim of this paper is to introduce dynamic modelling of microarray time course data. A novel approach to identify similar gene expression profiles is presented. Using parametric modelling, we de...
متن کاملRank-Based Analysis for the Time-course Microarray Data
Microarray technology allows the monitoring of expression levels for thousands of genes simultaneously. In time-course microarray experiments in which gene expression is monitored over time, we are interested in clustering genes that show similar temporal profiles and identifying genes that show a pre-specified profile. Unfortunately, many traditional clustering methods used for analyzing the m...
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ژورنال
عنوان ژورنال: Statistical Applications in Genetics and Molecular Biology
سال: 2011
ISSN: 1544-6115,2194-6302
DOI: 10.2202/1544-6115.1671