Ontology highlight
ABSTRACT:
SUBMITTER: Gomes LL
PROVIDER: S-EPMC4070031 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature
Bioinformation 20140520 5
In this paper, an unsupervised artificial neural network was implemented to identify the patters of specific signatures. The network was based on the differential expression of miRNAs (under or over expression) found in healthy or cancerous gastric tissues. Among the tissues analyzes, the neural network evaluated 514 miRNAs of gastric tissue that exhibited significant differential expression. The result suggested a specific expression signature nine miRNAs (hsa-mir-21, hsa-mir-29a, hsa-mir-29c, ...[more]