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BMCBI
2008
92views more  BMCBI 2008»
14 years 11 months ago
A semiparametric modeling framework for potential biomarker discovery and the development of metabonomic profiles
Background: The discovery of biomarkers is an important step towards the development of criteria for early diagnosis of disease status. Recently electrospray ionization (ESI) and ...
Samiran Ghosh, David F. Grant, Dipak K. Dey, Denni...
BMCBI
2010
96views more  BMCBI 2010»
14 years 11 months ago
A statistical framework for differential network analysis from microarray data
Background: It has been long well known that genes do not act alone; rather groups of genes act in consort during a biological process. Consequently, the expression levels of gene...
Ryan Gill, Somnath Datta, Susmita Datta
ICPPW
2003
IEEE
15 years 4 months ago
Parallelization of Cellular Neural Networks for Image Processing on Cluster Architectures
In this paper a simple but effective approach for parallelization of cellular neural networks for image processing is developed. Digital gray-scale images were used to evaluate th...
Thomas Weishäupl, Erich Schikuta
DCOSS
2009
Springer
15 years 3 months ago
Compressed RF Tomography for Wireless Sensor Networks: Centralized and Decentralized Approaches
Radio Frequency (RF) tomography refers to the process of inferring information about an environment by capturing and analyzing RF signals transmitted between nodes in a wireless se...
Mohammad A. Kanso, Michael G. Rabbat
UML
2004
Springer
15 years 4 months ago
A Metamodel for Generating Performance Models from UML Designs
Several different kinds of performance models can be generated from sets of scenarios that describe typical responses of a system, and their use of resources. The Core Scenario Mod...
Dorin Bogdan Petriu, C. Murray Woodside