Background: Gene expression databases are key resources for microarray data management and analysis and the importance of a proper annotation of their content is well understood. ...
Andrea Splendiani, Marco Brandizi, Gael Even, Otta...
Background: Microarrays are routinely used to assess mRNA transcript levels on a genome-wide scale. Large amount of microarray datasets are now available in several databases, and...
Mattia Pelizzola, Norman Pavelka, Maria Foti, Paol...
Microarrays make it possible to monitor the expression of thousands of genes in parallel thus generating huge amounts of data. So far, several databases have been developed for man...
The recent development of microarray technology provided unprecedented opportunities to understand the genetic basis of aging. So far, many microarray studies have addressed aging...
Fei Pan, Chi-Hsien Chiu, Sudip Pulapura, Michael R...
Microarray data usually contains a high level of noisy gene data, the noisy gene data include incorrect, noise and irrelevant genes. Before Microarray data classification takes pla...