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» A cluster validity framework for genome expression data
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ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
14 years 1 months ago
Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
Meghana Deodhar, Joydeep Ghosh, Gunjan Gupta, Hyuk...
TSMC
2010
13 years 2 months ago
Binary Biometrics: An Analytic Framework to Estimate the Performance Curves Under Gaussian Assumption
In recent years the protection of biometric data has gained increased interest from the scientific community. Methods such as the fuzzy commitment scheme, helper data system, fuzzy...
Emile J. C. Kelkboom, Gary Garcia Molina, Jeroen B...
CCE
2005
13 years 7 months ago
Selecting maximally informative genes
Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given...
Ioannis P. Androulakis
RECOMB
2005
Springer
14 years 7 months ago
Likely Scenarios of Intron Evolution
Whether common ancestors of eukaryotes and prokaryotes had introns is one of the oldest unanswered questions in molecular evolution. Recently completed genome sequences have been u...
Miklós Csürös
ESANN
2008
13 years 8 months ago
A method for robust variable selection with significance assessment
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...