The work focuses on a new approach for DNA-chip image processing by using the cellular neural network (CNN) paradigm. In particular the work aims to solve the main issues in automatic classification and spot validation that arise during an automatic DNA microarray analysis procedure. This contribution briefly presents the basic DNA micro-array technique and the state-of-the-art technologies, and introduces the idea of processing DNA chip data via CNNs, reporting also suitable examples. The algorithm described has been developed using a high level language, dedicated to CNN Universal Machine (CNNUM) chip programming, and validated on a typical fluorescence image from DNA microarray after hybridization.
A CNN Algorithm for Real Time analysis of DNA microarrays
ARENA, Paolo Pietro;FORTUNA, Luigi;
2002-01-01
Abstract
The work focuses on a new approach for DNA-chip image processing by using the cellular neural network (CNN) paradigm. In particular the work aims to solve the main issues in automatic classification and spot validation that arise during an automatic DNA microarray analysis procedure. This contribution briefly presents the basic DNA micro-array technique and the state-of-the-art technologies, and introduces the idea of processing DNA chip data via CNNs, reporting also suitable examples. The algorithm described has been developed using a high level language, dedicated to CNN Universal Machine (CNNUM) chip programming, and validated on a typical fluorescence image from DNA microarray after hybridization.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
