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BMCBI
2004
158views more  BMCBI 2004»
15 years 1 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...
INFOCOM
2010
IEEE
15 years 10 days ago
Randomized Differential DSSS: Jamming-Resistant Wireless Broadcast Communication
—Jamming resistance is crucial for applications where reliable wireless communication is required. Spread spectrum techniques such as Frequency Hopping Spread Spectrum (FHSS) and...
Yao Liu, Peng Ning, Huaiyu Dai, An Liu
151
Voted
SIAMREV
2010
132views more  SIAMREV 2010»
14 years 8 months ago
A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data
In this paper we propose and analyze a Stochastic-Collocation method to solve elliptic Partial Differential Equations with random coefficients and forcing terms (input data of the...
Ivo Babuska, Fabio Nobile, Raúl Tempone
146
Voted
BMCBI
2011
14 years 5 months ago
Proportion statistics to detect differentially expressed genes: a comparison with log-ratio statistics
Background: In genetic transcription research, gene expression is typically reported in a test sample relative to a reference sample. Laboratory assays that measure gene expressio...
Tracy L. Bergemann, Jason Wilson
111
Voted
ICPR
2004
IEEE
16 years 3 months ago
Landscape of Clustering Algorithms
Numerous clustering algorithms, their taxonomies and evaluation studies are available in the literature. Despite the diversity of different clustering algorithms, solutions delive...
Anil K. Jain, Alexander P. Topchy, Martin H. C. La...