Improved grading and survival prediction of human astrocytic brain tumors by artificial neural network analysis of gene expression microarray data

Molecular Cancer Therapeutics

Volumn 7, Issue 5, 2008, Pages 1013-1024

  Petalidis, Lawrence P ^a   Oulas, Anastasis ^b,c   Backlund, Magnus ^e   Wayland, Matthew T ^a   Liu, Lu ^a   Plant, Karen ^a   Happerfield, Lisa ^a   Freeman, Tom C ^d   Poirazi, Panayiota ^b   Collins, V Peter ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b INSTITUTE OF MOLECULAR BIOLOGY AND BIOTECHNOLOGY   (Greece)

^c UNIVERSITY OF CRETE   (Greece)

^d UNIVERSITY OF EDINBURGH   (United Kingdom)

^e KAROLINSKA UNIVERSITY HOSPITAL   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

PROTEIN P53; TUMOR MARKER;

ANGIOGENESIS; ARTICLE; ARTIFICIAL NEURAL NETWORK; ASTROCYTOMA; CELL DIFFERENTIATION; CELL SURVIVAL; CONTROLLED STUDY; GENE EXPRESSION; GLIOBLASTOMA; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; MAJOR CLINICAL STUDY; MICROARRAY ANALYSIS; PRIORITY JOURNAL; PROGNOSIS; SURVIVAL RATE; ALGORITHM; BRAIN TUMOR; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; METHODOLOGY; MORTALITY; REPRODUCIBILITY;

ALGORITHMS; ASTROCYTOMA; BRAIN NEOPLASMS; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; NEURAL NETWORKS (COMPUTER); OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROGNOSIS; REPRODUCIBILITY OF RESULTS; SURVIVAL RATE; TUMOR MARKERS, BIOLOGICAL;

EID: 49849090039     PISSN: 15357163     EISSN: None     Source Type: Journal    
DOI: 10.1158/1535-7163.MCT-07-0177     Document Type: Article

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