Paper Info
Title
Testing and Evaluation of Microarray Image Analysis Software
Abstract
The paper describes a novel approach to the microarray image simulation in order to provide researchers with a tool for testing and evaluating the performance of analysis software. Characteristics of a given microarray experiment are captured from public databases. Extracted data are then used for generating a synthetic microarray image and the corresponding ground truth data (i.e. the gene expression values). Given a particular experiment, and/or a specific hardware, and/or a software tool for microarray image analysis and so on, we use raw data obtained in identical or similar conditions to model simulated images with known values of gene activation. Hence, using the simulated images as benchmark, one can estimate expected errors and choose the most suitable analysis software for the real experiment.
Year
DOI
Venue
2008
10.1109/CISIS.2008.19
CISIS
Keywords
Field
DocType
program testing,raw data,microarray image analysis,synthetic microarray image,gene activation,particular experiment,corresponding ground truth data,software tools,software performance evaluation,microarray image,software testing,microarray image simulation,microarray experiment,microarray image analysis software,dna,simulated image,analysis software,extracted data,medical image processing,image analysis,data mining,gaussian distribution,manganese,pixel,ground truth,hardware,noise,gene expression,mathematical model,software performance,shape
Data mining,Microarray,Analysis software,Computer science,Image analysis,Raw data,Software performance testing,Ground truth,Pixel,Gene chip analysis
Conference
ISBN
Citations 
PageRank 
978-0-7695-3109-0
0
0.34
References 
Authors
10
3
Name
Order
Citations
PageRank
Ignazio Infantino115132.13
Carmelo Lodato28014.53
Salvatore Lopes38013.51