An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers

Bioinformatics

Volumn 18, Issue 3, 2002, Pages 395-404

  Ball, G ^a   Mian, S ^a   Holding, F ^b   Allibone, R O ^c   Lowe, J ^c   Ali, S ^a   Li, G ^a   McCardle, S ^a   Ellis, I O ^d   Creaser, C ^a   Rees, R C ^a  

^a NOTTINGHAM TRENT UNIVERSITY   (United Kingdom)

^b Cantab Pharmaceuticals Ltd   (United Kingdom)

^c QUEEN S MEDICAL CENTRE   (United Kingdom)

^d NOTTINGHAM CITY HOSPITAL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER; TUMOR MARKER;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; ASTROCYTOMA; CANCER GRADING; CANCER SCREENING; COMPUTER PROGRAM; CONTROLLED STUDY; DATA ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DISEASE COURSE; HUMAN; HUMAN TISSUE; MASS SPECTROMETRY; MICROPROCESSOR; POPULATION RESEARCH; PREDICTION; PRIORITY JOURNAL; PROGNOSIS; PROTEIN DETERMINATION; PROTEIN EXPRESSION; TUMOR CLASSIFICATION;

EID: 18344396961     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/18.3.395     Document Type: Article

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