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BMCBI
2004
158views more  BMCBI 2004»
13 years 5 months ago
A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Si...
BMCBI
2008
142views more  BMCBI 2008»
13 years 5 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
PAMI
2007
187views more  PAMI 2007»
13 years 5 months ago
Registration of Challenging Image Pairs: Initialization, Estimation, and Decision
—Our goal is an automated 2D-image-pair registration algorithm capable of aligning images taken of a wide variety of natural and man-made scenes as well as many medical images. T...
Gehua Yang, Charles V. Stewart, Michal Sofka, Chia...
CACM
2011
134views more  CACM 2011»
12 years 9 months ago
Brain-computer interfaces for communication and control
For many years people have speculated that electroencephalographic activity or other electrophysiological measures of brain function might provide a new non-muscular channel for s...
Dennis J. McFarland, Jonathan R. Wolpaw
UML
2005
Springer
13 years 11 months ago
Use Cases in Model-Driven Software Engineering
Use cases have achieved wide use as specification tools for systems observable behavior, but there still remains a large gap between specifying behavior and determining the softwar...
Hernán Astudillo, Gonzalo Génova, Mi...