Discovering diagnostic gene targets and early diagnosis of acute GVHD using methods of computational intelligence over gene expression data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5769 LNCS, Issue PART 2, 2009, Pages 10-19

  Fiasché, Maurizio ^a   Verma, Anju ^b   Cuzzola, Maria ^c   Iacopino, Pasquale ^c   Kasabov, Nikola ^b   Morabito, Francesco C ^a  

^a UNIVERSITY MEDITERRANEA OF REGGIO CALABRIA   (Italy)

^b AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

^c Transplant Regional Center of Stem Cells and Cellular Therapy   (Italy)

Author keywords

Feature Selection; Gene selection; GEP; GVHD; Machine Learning; Neural Networks

Indexed keywords

CLINICAL SIGNS; COMPUTATIONAL INTELLIGENCE; EARLY DIAGNOSIS; EXPRESSION PROFILE; FEATURE SELECTION; FEATURE SELECTION ALGORITHM; GENE EXPRESSION DATA; GENE SELECTION; GRAFT-VERSUS-HOST DISEASE; HAEMATOPOIETIC STEM CELLS; IMMUNE CELLS; MACHINE-LEARNING; STANDARD METHOD;

BACKPROPAGATION; COMPUTATIONAL LINGUISTICS; DIAGNOSIS; GENE EXPRESSION; GENETIC ENGINEERING; ROBOT LEARNING;

NEURAL NETWORKS;

EID: 70450160633     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04277-5_2     Document Type: Conference Paper

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