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» Microarray image analysis based on an evolutionary approach
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CRV
2006
IEEE
92views Robotics» more  CRV 2006»
14 years 1 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...
FUIN
2011
358views Cryptology» more  FUIN 2011»
12 years 11 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
IDA
2007
Springer
13 years 7 months ago
An unsupervised clustering approach for leukaemia classification based on DNA micro-arrays data
: DNA micro-arrays provide thousands of genomic expressions on the same subject. A main issue is then to find the subset of genes whose degeneration is responsible of a certain typ...
Simone Garatti, Sergio Bittanti, Diego Liberati, A...
BIBE
2008
IEEE
150views Bioinformatics» more  BIBE 2008»
13 years 8 months ago
Automatic DNA microarray gridding based on Support Vector Machines
This paper presents a novel method for DNA microarray gridding based on Support Vector Machine (SVM) classifiers. It employs a set of soft-margin SVMs to estimate the lines of the ...
Dimitris G. Bariamis, Dimitris Maroulis, Dimitrios...
BMCBI
2005
112views more  BMCBI 2005»
13 years 7 months ago
"Harshlighting" small blemishes on microarrays
Background: Microscopists are familiar with many blemishes that fluorescence images can have due to dust and debris, glass flaws, uneven distribution of fluids or surface coatings...
Mayte Suárez-Fariñas, Asifa Haider, ...