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» Robust estimators for expression analysis
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107
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BMCBI
2007
149views more  BMCBI 2007»
14 years 10 months ago
Robust imputation method for missing values in microarray data
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
Dankyu Yoon, Eun-Kyung Lee, Taesung Park
102
Voted
BMCBI
2005
135views more  BMCBI 2005»
14 years 10 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...
59
Voted
PAMI
2006
81views more  PAMI 2006»
14 years 10 months ago
Robust and Accurate Vectorization of Line Drawings
This paper presents a method for vectorizing the graphical parts of paper-based line drawings. The method consists of separating the input binary image into layers of homogeneous t...
Xavier Hilaire, Karl Tombre
88
Voted
BMCBI
2007
163views more  BMCBI 2007»
14 years 10 months ago
Use of genomic DNA control features and predicted operon structure in microarray data analysis: ArrayLeaRNA - a Bayesian approac
Background: Microarrays are widely used for the study of gene expression; however deciding on whether observed differences in expression are significant remains a challenge. Resul...
Carmen Pin, Mark Reuter
111
Voted
BMCBI
2011
14 years 1 months ago
Proportion statistics to detect differentially expressed genes: a comparison with log-ratio statistics
Background: In genetic transcription research, gene expression is typically reported in a test sample relative to a reference sample. Laboratory assays that measure gene expressio...
Tracy L. Bergemann, Jason Wilson