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» A Multi-metric Similarity Based Analysis of Microarray Data
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CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
15 years 9 months ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
ICMCS
2006
IEEE
115views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Similar Segment Detection for Music Structure Analysis via Viterbi Algorithm
The analysis of audio signals of popular and rock songs of the versechorus form to reconstruct its original musical structures is investigated in this work. We first compute the ...
Yu Shiu, Hong Jeong, C. C. Jay Kuo
BMCBI
2005
153views more  BMCBI 2005»
15 years 4 months ago
A comparative review of estimates of the proportion unchanged genes and the false discovery rate
Background: In the analysis of microarray data one generally produces a vector of p-values that for each gene give the likelihood of obtaining equally strong evidence of change by...
Per Broberg
AIIA
2009
Springer
15 years 11 months ago
Ontology-Driven Co-clustering of Gene Expression Data
Abstract. The huge volume of gene expression data produced by microarrays and other high-throughput techniques has encouraged the development of new computational techniques to eva...
Francesca Cordero, Ruggero G. Pensa, Alessia Visco...
HPDC
2010
IEEE
15 years 5 months ago
Modeling sequence and function similarity between proteins for protein functional annotation
A common task in biological research is to predict function for proteins by comparing sequences between proteins of known and unknown function. This is often done using pair-wise ...
Roger Higdon, Brenton Louie, Eugene Kolker