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BMCBI
2010
152views more  BMCBI 2010»
13 years 8 months ago
Comparative study of discretization methods of microarray data for inferring transcriptional regulatory networks
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are us...
Yong Li, Lili Liu, Xi Bai, Hua Cai, Wei Ji, Dianji...
BMCBI
2006
153views more  BMCBI 2006»
13 years 7 months ago
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
Background: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating v...
Maureen A. Sartor, Craig R. Tomlinson, Scott C. We...
BMCBI
2007
128views more  BMCBI 2007»
13 years 7 months ago
A robust and efficient algorithm for the shape description of protein structures and its application in predicting ligand bindin
Background: An accurate description of protein shape derived from protein structure is necessary to establish an understanding of protein-ligand interactions, which in turn will l...
Lei Xie, Philip E. Bourne
TON
2002
112views more  TON 2002»
13 years 7 months ago
Pricing in multiservice loss networks: static pricing, asymptotic optimality, and demand substitution effects
We consider a communication network with fixed routing that can accommodate multiple service classes, differing in bandwidth requirements, demand pattern, call duration, and routin...
Ioannis Ch. Paschalidis, Yong Liu
OTM
2010
Springer
13 years 5 months ago
On the Expressiveness and Trade-Offs of Large Scale Tuple Stores
Massive-scale distributed computing is a challenge at our doorstep. The current exponential growth of data calls for massive-scale capabilities of storage and processing. This is b...
Ricardo Vilaça, Francisco Cruz, Rui Carlos ...