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» Unfolding of Microarray Data
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BMCBI
2008
87views more  BMCBI 2008»
13 years 9 months ago
Global rank-invariant set normalization (GRSN) to reduce systematic distortions in microarray data
Background: Microarray technology has become very popular for globally evaluating gene expression in biological samples. However, non-linear variation associated with the technolo...
Carl R. Pelz, Molly Kulesz-Martin, Grover Bagby, R...
IDA
2007
Springer
13 years 9 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...
ICIP
2006
IEEE
14 years 3 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
IDEAL
2007
Springer
14 years 3 months ago
Methods to Bicluster Validation and Comparison in Microarray Data
There are lots of validation indexes and techniques to study clustering results. Biclustering algorithms have been applied in Systems Biology, principally in DNA Microarray analysi...
Rodrigo Santamaría, Luis Quintales, Roberto...
BMCBI
2006
100views more  BMCBI 2006»
13 years 9 months ago
Chromosomal patterns of gene expression from microarray data: methodology, validation and clinical relevance in gliomas
Background: Expression microarrays represent a powerful technique for the simultaneous investigation of thousands of genes. The evidence that genes are not randomly distributed in...
Federico E. Turkheimer, Federico Roncaroli, Benoit...