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BMCBI
2004
132views more  BMCBI 2004»
13 years 11 months ago
Two-stage normalization using background intensities in cDNA microarray data
Background: In the microarray experiment, many undesirable systematic variations are commonly observed. Normalization is the process of removing such variation that affects the me...
Dankyu Yoon, Sung-Gon Yi, Ju-Han Kim, Taesung Park
BMCBI
2005
169views more  BMCBI 2005»
13 years 11 months ago
An adaptive method for cDNA microarray normalization
Background: Normalization is a critical step in analysis of gene expression profiles. For duallabeled arrays, global normalization assumes that the majority of the genes on the ar...
Yingdong Zhao, Ming-Chung Li, Richard Simon
BMCBI
2005
116views more  BMCBI 2005»
13 years 11 months ago
Can Zipf's law be adapted to normalize microarrays?
Background: Normalization is the process of removing non-biological sources of variation between array experiments. Recent investigations of data in gene expression databases for ...
Timothy Lu, Christine M. Costello, Peter J. P. Cro...
BMCBI
2007
123views more  BMCBI 2007»
13 years 11 months ago
Metabonomics evaluations of age-related changes in the urinary compositions of male Sprague Dawley rats and effects of data norm
Background: Urine from male Sprague-Dawley rats 25, 40, and 80 days old was analyzed by NMR and UPLC/MS. The effects of data normalization procedures on principal component analys...
Laura K. Schnackenberg, Jinchun Sun, Parvaneh Espa...
BMCBI
2006
126views more  BMCBI 2006»
13 years 11 months ago
Effect of data normalization on fuzzy clustering of DNA microarray data
Background: Microarray technology has made it possible to simultaneously measure the expression levels of large numbers of genes in a short time. Gene expression data is informati...
Seo Young Kim, Jae Won Lee, Jong Sung Bae
BMCBI
2006
106views more  BMCBI 2006»
13 years 11 months ago
Methodological study of affine transformations of gene expression data with proposed robust non-parametric multi-dimensional nor
Background: Low-level processing and normalization of microarray data are most important steps in microarray analysis, which have profound impact on downstream analysis. Multiple ...
Henrik Bengtsson, Ola Hössjer
BMCBI
2008
98views more  BMCBI 2008»
13 years 11 months ago
Normalization of Illumina Infinium whole-genome SNP data improves copy number estimates and allelic intensity ratios
Background: Illumina Infinium whole genome genotyping (WGG) arrays are increasingly being applied in cancer genomics to study gene copy number alterations and allele-specific aber...
Johan Staaf, Johan Vallon-Christersson, David Lind...
BMCBI
2007
174views more  BMCBI 2007»
13 years 11 months ago
Normalization method for metabolomics data using optimal selection of multiple internal standards
Background: Success of metabolomics as the phenotyping platform largely depends on its ability to detect various sources of biological variability. Removal of platform-specific so...
Marko Sysi-Aho, Mikko Katajamaa, Laxman Yetukuri, ...
ECIR
2008
Springer
14 years 27 days ago
The Impact of Named Entity Normalization on Information Retrieval for Question Answering
Abstract. In the named entity normalization task, a system identifies a canonical unambiguous referent for names like Bush or Alabama. Resolving synonymy and ambiguity of such name...
Mahboob Alam Khalid, Valentin Jijkoun, Maarten de ...
SIGIR
2004
ACM
14 years 4 months ago
A study of methods for normalizing user ratings in collaborative filtering
The goal of collaborative filtering is to make recommendations for a test user by utilizing the rating information of users who share interests similar to the test user. Because r...
Rong Jin, Luo Si