Title :
Prediction and Analysis of Human microRNA Regulatory Modules
Author :
Yoon, Sungroh ; De Micheli, G.
Author_Institution :
Comput. Syst. Lab., Stanford Univ., CA
Abstract :
MicroRNAs are a family of small, non-coding RNAs that regulate gene expression in a sequence-specific manner. We propose a computational method to predict miRNA regulatory modules or groups of miRNAs and target genes that are believed to participate cooperatively in post-transcriptional gene regulation. We tested our method with the human genes and miRNAs, predicting 431 miRNA regulatory modules. The validations of predicted modules with the literature and gene ontology show that the genes in the modules appear to be closely related in specific biological processes, such as gene regulation involved in various cancers
Keywords :
cancer; genetics; macromolecules; medical computing; molecular biophysics; ontologies (artificial intelligence); cancers; gene expression; gene ontology; human microRNA regulatory modules; post-transcriptional gene regulation; small noncoding RNA; Animals; Biological processes; Biology computing; Cancer; Degradation; Gene expression; Humans; Ontologies; RNA; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615545