Partial least squares discriminant analysis (PLS-DA) provides a sound statistical basis for the selection of a limited number of gene transcripts most effective in discriminating different lung tumoral histotypes. The potentialities of the PLS-DA approach are pointed out by its ability to identify genes which, according to current knowledge, are considered molecular markers for colon cancer diagnostics and classification. Indeed application of PLS-DA to in vivo data allowed identification of a set of genes able to discriminate primary lung tumours from colon metastases. (c) 2005 Elsevier Ltd. All rights reserved.
|Titolo:||Genome-based identification of diagnostic molecular markers for human lung carcinomas by PLS-DA RID H-2208-2011|
|Data di pubblicazione:||2005|
|Citazione:||Genome-based identification of diagnostic molecular markers for human lung carcinomas by PLS-DA RID H-2208-2011 / Musumarra G; Barresi V; Condorelli DF; Fortuna CG; Scire' S. - In: COMPUTATIONAL BIOLOGY AND CHEMISTRY. - ISSN 1476-9271. - 29:3(2005), pp. 183-195.|
|Appare nelle tipologie:||1.1 Articolo in rivista|