A computational procedure for the integrative analysis of genomic data at the single sample level
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Data di Pubblicazione:
2007
Citazione:
A computational procedure for the integrative analysis of genomic data at the single sample level / M. Zampieri, I. Cifola, D. Basso, R. Spinelli, L. Beltrame, C. Peano, C. Battaglia, S. Bicciato. ((Intervento presentato al 10. convegno Symposium on Computer Applications in Biotechnology tenutosi a Cancun (Mex) nel 2007.
Abstract:
The integrative analysis of DNA copy number levels and transcriptional profiles, in context of the physical location of genes in a genome, still represents a challenge in the bioinformatics arena. A computational framework based on locally adaptive statistical procedures (Locally Adaptive Statistical Procedure, LAP and Global Smoothing Copy Number, GLSCN) for the identification of imbalanced chromosomal regions in single samples is described. The application of LAP and GLSCN to the integrative analysis of clear cell renal carcinoma patients allowed identifying chromosomal regions that are directly involved in known chromosomal aberrations characteristic of tumors.
Tipologia IRIS:
14 - Intervento a convegno non pubblicato
Keywords:
Genomic data ; copy number ; gene expression ; microarray ; kernel smoothing methods ; statistical tests
Elenco autori:
M. Zampieri, I. Cifola, D. Basso, R. Spinelli, L. Beltrame, C. Peano, C. Battaglia, S. Bicciato
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