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» Evaluation of clustering algorithms for gene expression data
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CIT
2007
Springer
16 years 24 days ago
Performance Assessment of Some Clustering Algorithms Based on a Fuzzy Granulation-Degranulation Criterion
In this paper a fuzzy quantization dequantization criterion is used to propose an evaluation technique to determine the appropriate clustering algorithm suitable for a particular ...
Sriparna Saha, Sanghamitra Bandyopadhyay
WABI
2009
Springer
124views Bioinformatics» more  WABI 2009»
16 years 1 months ago
Mimosa: Mixture Model of Co-expression to Detect Modulators of Regulatory Interaction
Background: Functionally related genes tend to be correlated in their expression patterns across multiple conditions and/or tissue-types. Thus co-expression networks are often use...
Matthew Hansen, Logan Everett, Larry Singh, Sridha...
BMCBI
2010
99views more  BMCBI 2010»
15 years 6 months ago
Different effects of the probe summarization algorithms PLIER and RMA on high-level analysis of Affymetrix exon arrays
Background: Alternative splicing is an important mechanism that increases protein diversity and functionality in higher eukaryotes. Affymetrix exon arrays are a commercialized pla...
Yi Qu, Fei He, Yuchen Chen
BMCBI
2008
157views more  BMCBI 2008»
15 years 6 months ago
Dimension reduction with redundant gene elimination for tumor classification
Background: Analysis of gene expression data for tumor classification is an important application of bioinformatics methods. But it is hard to analyse gene expression data from DN...
Xue-Qiang Zeng, Guo-Zheng Li, Jack Y. Yang, Mary Q...
ISAAC
2007
Springer
135views Algorithms» more  ISAAC 2007»
16 years 23 days ago
Fast Evaluation of Union-Intersection Expressions
Abstract. We show how to represent sets in a linear space data structure such that expressions involving unions and intersections of sets can be computed in a worst-case efficient ...
Philip Bille, Anna Pagh, Rasmus Pagh