Paper Info
Title
Expresso and Chips: Creating a Next Generation Microarray Experiment Management System
Abstract
Expresso is an experiment management system that is designed to assist biologists in planning, executing, and interpreting microarray experiments. It serves as a unifying framework to study data-driven application composition systems, as envisaged under the NSF Next Generation Software (NGS) program. Physical and analytical stages of the microarray process are mirrored in Expresso with computational models from biophysics, molecular biology, biochemistry, robotics, image processing, statistics, and knowledge representation. These models are pushed deeper (earlier) into the design process to help avoid costly design errors and to provide, as needed, surrogate functions for the traditional stages of microarray experiments. In this paper, we describe ongoing work in the design of Expresso, with specific reference to application composition, application optimization, experiment protocol design, and closing the loop.'
Year
DOI
Venue
2003
10.1109/IPDPS.2003.1213384
IPDPS
Keywords
Field
DocType
computational biology,data mining,knowledge representation,robotics,computational modeling,biophysics,image analysis,molecular biology,application software,biochemistry,model based design,design process,chip,image processing
Computer science,Software,Engineering design process,Artificial intelligence,Computational biology,Application software,Robotics,Distributed computing,Knowledge representation and reasoning,Software engineering,Model-based design,Computational model,Management system
Conference
ISBN
Citations 
PageRank 
0-7695-1926-1
4
0.55
References 
Authors
9
12
Name
Order
Citations
PageRank
Allan A. Sioson1392.93
Jonathan I. Watkinson240.55
Cecilia Vasquez-Robinet3271.34
Margaret Ellis440.55
Maulik Shukla51107.97
Deept Kumar6462.65
Naren Ramakrishnan71913176.25
Lenwood S. Heath8926106.01
Ruth Grene9501.44
Boris I. Chevone1040.89
Karen Kafadar11466.32
Layne T. Watson121253290.45