Genome-based identification of diagnostic molecular markers for human lung carcinomas by PLS-DA

Authors:
Giuseppe Musumarra;Vincenza Barresi;Daniele F. Condorelli;Cosimo G. Fortuna;Salvatore Scirè
Affiliations:
Dipartimento di Scienze Chimiche, Universití di Catania, Viale A. Doria 6, 95125 Catania, Italy;Dipartimento di Scienze Chimiche, Universití di Catania, Viale A. Doria 6, 95125 Catania, Italy;Dipartimento di Scienze Chimiche, Universití di Catania, Viale A. Doria 6, 95125 Catania, Italy;Dipartimento di Scienze Chimiche, Universití di Catania, Viale A. Doria 6, 95125 Catania, Italy;Dipartimento di Scienze Chimiche, Universití di Catania, Viale A. Doria 6, 95125 Catania, Italy
Venue:
Computational Biology and Chemistry
Year:
2005

Citing 1
Cited 1

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Abstract

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.