TY - GEN
T1 - A data mining library for miRNA annotation and analysis
AU - Nuzzo, Angelo
AU - Beretta, Riccardo
AU - Mulas, Francesca
AU - Roobrouck, Valerie
AU - Verfaillie, Catherine
AU - Zupan, Blaz
AU - Bellazzi, Riccardo
PY - 2011
Y1 - 2011
N2 - Understanding the key role that miRNAs play in the regulation of gene expression is one of the most important challenges in modern molecular biology. Standard gene set enrichment analysis (GSEA) is not appropriate in this context, due to the low specificity of the relation between miRNAs and their target genes. We developed alternative strategies to gain better insights in the differences in biological processes involved in different experimental conditions. We here describe a novel method to analyze and interpret miRNA expression data correctly, and demonstrate that annotating miRNA directly to biological processes through their target genes (which is nevertheless the only way possible) is a non-trivial task. We are currently employing the same strategy to relate miRNA expression patterns directly to pathway information, to generate new hypotheses, which may be relevant for the interpretation of their role in the gene expression regulatory processes.
AB - Understanding the key role that miRNAs play in the regulation of gene expression is one of the most important challenges in modern molecular biology. Standard gene set enrichment analysis (GSEA) is not appropriate in this context, due to the low specificity of the relation between miRNAs and their target genes. We developed alternative strategies to gain better insights in the differences in biological processes involved in different experimental conditions. We here describe a novel method to analyze and interpret miRNA expression data correctly, and demonstrate that annotating miRNA directly to biological processes through their target genes (which is nevertheless the only way possible) is a non-trivial task. We are currently employing the same strategy to relate miRNA expression patterns directly to pathway information, to generate new hypotheses, which may be relevant for the interpretation of their role in the gene expression regulatory processes.
KW - annotation tools
KW - Data Mining
KW - miRNA analysis
UR - http://www.scopus.com/inward/record.url?scp=80052975065&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80052975065&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-22218-4_10
DO - 10.1007/978-3-642-22218-4_10
M3 - Conference contribution
AN - SCOPUS:80052975065
SN - 9783642222177
VL - 6747 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 80
EP - 84
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 13th Conference on Artificial Intelligence in Medicine, AIME 2011
Y2 - 2 July 2011 through 6 July 2011
ER -