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CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
15 years 7 months ago
Minimum Entropy Clustering and Applications to Gene Expression Analysis
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
Haifeng Li, Keshu Zhang, Tao Jiang
107
Voted
ALMOB
2007
73views more  ALMOB 2007»
15 years 3 months ago
GOGOT: a method for the identification of differentially expressed fragments from cDNA-AFLP data
Background: One-dimensional (1-D) electrophoretic data obtained using the cDNA-AFLP method have attracted great interest for the identification of differentially expressed transcr...
Koji Kadota, Ryoko Araki, Yuji Nakai, Masumi Abe
228
Voted

Book
412views
17 years 2 months ago
Algorithms for Clustering Data
"Cluster analysis is an important technique in the rapidly growing field known as exploratory data analysis and is being applied in a variety of engineering and scientific dis...
A. K. Jain, R. C. Dubes
137
Voted
ICC
2007
IEEE
133views Communications» more  ICC 2007»
15 years 10 months ago
A Token-Based Scheduling Scheme for WLANs and Its Performance Analysis
— Most of the existing WLAN MAC protocols can only provide limited service differentiation. In this paper, we propose a novel token-based scheduling scheme for precise and quanti...
Ping Wang, Weihua Zhuang
135
Voted
GLOBECOM
2006
IEEE
15 years 9 months ago
Service Differentiation by a Link Layer Protocol Based on SR ARQ over a Satellite Channel
— This paper studies the case where multiple IP flows are aggregated over a single satellite channel and an error recovery by retransmissions is performed by SelectiveRepeat (SR...
Toshihiro Shikama, Takashi Watanabe, Tadanori Mizu...