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BMCBI
2006
118views more  BMCBI 2006»
13 years 4 months ago
Microarray image analysis: background estimation using quantile and morphological filters
Background: In a microarray experiment the difference in expression between genes on the same slide is up to 103 fold or more. At low expression, even a small error in the estimat...
Anders Bengtsson, Henrik Bengtsson
BMCBI
2004
208views more  BMCBI 2004»
13 years 4 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov
IDA
2007
Springer
13 years 10 months ago
Noise Filtering and Microarray Image Reconstruction Via Chained Fouriers
Abstract. Microarrays allow biologists to determine the gene expressions for tens of thousands of genes simultaneously, however due to biological processes, the resulting microarra...
Karl Fraser, Zidong Wang, Yongmin Li, Paul Kellam,...
BMCBI
2007
149views more  BMCBI 2007»
13 years 4 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
ICIP
2007
IEEE
14 years 6 months ago
DNA Microarray Image Intensity Extraction using Eigenspots
DNA microarrays are commonly used in the rapid analysis of gene expression in organisms. Image analysis is used to measure the average intensity of circular image areas (spots), w...
Sotirios A. Tsaftaris, Ramandeep Ahuja, Derek J. S...