Genome-based identification of diagnostic molecular markers for human lung carcinomas by PLS-DA.
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.
Dipartimento di Scienze Chimiche, Università di Catania, Viale A. Doria 6, 95125 Catania, Italy. gmusumarra@dipchi.unict.it
Giuseppe
G
Musumarra
Vincenza
V
Barresi
Daniele F
DF
Condorelli
Cosimo G
CG
Fortuna
Salvatore
S
Scirè
D014408:Biomarkers, Tumor / Q000235:genetics*; D002277:Carcinoma / Q000175:diagnosis*; D016002:Discriminant Analysis; D020869:Gene Expression Profiling; D006801:Humans; D016018:Least-Squares Analysis; D008175:Lung Neoplasms / Q000175:diagnosis*
D014408:Biomarkers, Tumor