Sciweavers

CMIG
2010
110views more  CMIG 2010»
13 years 6 months ago
Unsupervised SVM-based gridding for DNA microarray images
This paper presents a novel method for unsupervised DNA microarray gridding based on Support Vector Machines (SVMs). Each spot is a small region on the microarray surface where cha...
Dimitris G. Bariamis, Dimitris Maroulis, Dimitrios...
CSB
2004
IEEE
151views Bioinformatics» more  CSB 2004»
14 years 3 months ago
Gridding and Compression of Microarray Images
With the recent explosion of interest in microarray technology, massive amounts of microarray images are currently being produced. The storage and the transmission of this type of...
Stefano Lonardi, Yu Luo
SAC
2003
ACM
14 years 4 months ago
A Markov Random Field Model of Microarray Gridding
DNA microarray hybridisation is a popular high throughput technique in academic as well as industrial functional genomics research. In this paper we present a new approach to auto...
Mathias Katzer, Franz Kummert, Gerhard Sagerer
ICIAR
2005
Springer
14 years 5 months ago
A New Approach to Automatically Detecting Grids in DNA Microarray Images
Image and statistical analysis are two important aspects of microarray technology. Of these, gridding is necessary to accurately identify the location of each spot while extracting...
Luís G. Rueda, Vidya Vidyadharan
CSB
2005
IEEE
151views Bioinformatics» more  CSB 2005»
14 years 5 months ago
Lossless Compression of DNA Microarray Images
Microarray experiments are characterized by a massive amount of data, usually in the form of an image. Based on the nature of microarray images, we consider the microarray in term...
Yong Zhang, Rahul Parthe, Donald A. Adjeroh
ICIP
2006
IEEE
14 years 5 months ago
Lossless Compression of Microarray Images
During the past years, the development of microarray technology has been remarkable, and it is becoming a daily tool in many genomic research laboratories. The widespread adoption...
António J. R. Neves, Armando J. Pinho
CRV
2006
IEEE
92views Robotics» more  CRV 2006»
14 years 5 months ago
Simple Software for Microarray Image Analysis
A set of microarray images were acquired by a sequence of biological experiments which were scanned via a high resolution scanner. For each spot corresponding to a gene, the ratio...
Chaur-Chin Chen, Cheng-Yan Kao, Chun-Fan Chang, Hs...
CBMS
2007
IEEE
14 years 5 months ago
An Unsupervised and Fully-Automated Image Analysis Method for cDNA Microarrays
Microarray gene expression image analysis is a labor-intensive task and requires human intervention since microarray images are contaminated with noise and artifacts while spots a...
Eleni Zacharia, Dimitrios E. Maroulis
ICPR
2008
IEEE
14 years 6 months ago
Microarray image analysis based on an evolutionary approach
1 Biological conclusions reached during microarray experiments can be greatly affected by human intervention, which is currently required in microarray image analysis. Therefore, a...
Eleni Zacharia, Dimitris Maroulis
ICIP
2008
IEEE
14 years 6 months ago
Microarray image gridding via an evolutionary algorithm
Gridding is the first, essential stage of processing cDNA microarray images. The existing tools for allocating the grid structure in a microarray image often require human interve...
Eleni Zacharia, Dimitris Maroulis