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» Using Formal Concept Analysis for Microarray Data Comparison
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CSMR
2004
IEEE
13 years 11 months ago
Source Code Modularization Using Lattice of Concept Slices
Most legacy systems have been altered due to prolonged maintenance to the point that they deviate significantly from their original and intended design and consequently, they lack...
Raihan Al-Ekram, Kostas Kontogiannis
BMCBI
2005
135views more  BMCBI 2005»
13 years 7 months ago
A robust two-way semi-linear model for normalization of cDNA microarray data
Background: Normalization is a basic step in microarray data analysis. A proper normalization procedure ensures that the intensity ratios provide meaningful measures of relative e...
Deli Wang, Jian Huang, Hehuang Xie, Liliana Manzel...
GD
1994
Springer
13 years 11 months ago
A Geometrical Heuristic for Drawing Concept Lattices
Abstract. Concept lattices are used in formal concept analysis to represent data conceptually so that the original data are still recognizable. Their line diagrams should re ect th...
Gerd Stumme, Rudolf Wille
BMCBI
2005
121views more  BMCBI 2005»
13 years 7 months ago
Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data
Background: A critical step in processing oligonucleotide microarray data is combining the information in multiple probes to produce a single number that best captures the express...
Kerby Shedden, Wei Chen, Rork Kuick, Debashis Ghos...
BMCBI
2010
103views more  BMCBI 2010»
13 years 7 months ago
Nonparametric methods for the analysis of single-color pathogen microarrays
Background: The analysis of oligonucleotide microarray data in pathogen surveillance and discovery is a challenging task. Target template concentration, nucleic acid integrity, an...
Omar J. Jabado, Sean Conlan, P. Lan Quan, Jeffrey ...