Discovering diagnostic gene targets for early diagnosis of acute GVHD using methods of computational intelligence on gene expression data

• Autorzy: Fiasch'e M. , Morabito F. C. , Verma A. , Kasabov N. , Cuzzola M. , Iacopino P.
• Języki publikacji: EN

Abstrakty

EN

This is an application paper of applying standard methods of computational intelligence to identify diagnostic gene targets and to use them for a successful diagnosis of a medical problem - acute graft-versus-host disease (aGVHD). This is the major complication after allogeneic haematopoietic stem cell transplantation (HSCT) in which functional immune cells of donor, recognize the recipient as ”foreign” and mount an immunologic attack. In this paper we analyzed gene-expression profiles of 47 genes associated with allo-reactivity in 59 patients submitted to HSCT. We have applied different dimensionality reduction techniques of the variable space, combined with different classifiers to detect the aGVHD at onset of clinical signs. This is a preliminary study which utilises both computational and biological evidence for the involvement of a limited number of genes for the diagnosis of aGVHD. Directions for further studies are also outlined in this paper.

Słowa kluczowe

EN

acute graft-versus-host disease; aGVHD; haematopoietic stem cell transplantation; HSCT; immunologic attack; diagnosis; computational intelligence; gene expression data

• Wydawca: University of Social Sciences
• Czasopismo: Journal of Artificial Intelligence and Soft Computing Research
• Rocznik: 2011
• Tom: Vol. 1, No. 1
• Strony: 81--89
• Opis fizyczny: Bibliogr. 26 poz., rys.

Twórcy

autor

Fiasch'e M.

• DIMET, University Mediterranea of Reggio Calabria Via Graziella, Feo di Vito, 89100 Reggio Calabria, Italy

autor

Morabito F. C.

• DIMET, University Mediterranea of Reggio Calabria Via Graziella, Feo di Vito, 89100 Reggio Calabria, Italy

autor

Verma A.

• Knowledge Engineering and Discovery Research Institute, AUT350 Queen Street, Auckland, New Zealand

autor

Kasabov N.

• Knowledge Engineering and Discovery Research Institute, AUT350 Queen Street, Auckland, New Zealand

autor

Cuzzola M.

• Transplant Regional Center of Stem Cells and Cellular Therapy, ”A. Neri” Via Petrara 11, 89100 Reggio Calabria, Italy

autor

Iacopino P.

• Transplant Regional Center of Stem Cells and Cellular Therapy, ”A. Neri” Via Petrara 11, 89100 Reggio Calabria, Italy

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