Biomarker signature discovery from mass spectrometry data

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 11, Issue 4, 2014, Pages 766-772

  Kong, Ao ^a   Gupta, Chinmaya ^a   Ferrari, Mauro ^b   Agostini, Marco ^b,c,d   Bedin, Chiara ^c,d   Bouamrani, Ali ^e   Tasciotti, Ennio ^b   Azencott, Robert ^a,f  

^a University of Houston   (United States)

^b HOUSTON METHODIST RESEARCH INSTITUTE   (United States)

^c UNIVERSITY OF PADOVA   (Italy)

^d Nano Inspired Biomedicine Istituto di Ricerca Pediatrica ^*  (Italy)

^e CEA LETI   (France)

^f Inserm   (France)

Author keywords

Automatic signature discovery; Biomarker selection; Colorectal cancer; MALDI SELDI data; Ovarian cancer

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOMARKERS; DIAGNOSIS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MASS SPECTROMETRY; MOLECULAR BIOLOGY; PROTEINS;

BIOMARKER SELECTIONS; COLORECTAL CANCER; MALDI/SELDI DATA; OVARIAN CANCERS; SIGNATURE DISCOVERY;

DISEASES;

TUMOR MARKER;

ALGORITHM; AUTOMATED PATTERN RECOGNITION; CHEMISTRY; FACTUAL DATABASE; HUMAN; MASS SPECTROMETRY; METABOLISM; NEOPLASM; PROCEDURES; PROTEOMICS; REPRODUCIBILITY;

ALGORITHMS; BIOMARKERS, TUMOR; DATABASES, FACTUAL; HUMANS; NEOPLASMS; PATTERN RECOGNITION, AUTOMATED; PROTEOMICS; REPRODUCIBILITY OF RESULTS; SPECTROMETRY, MASS, MATRIX-ASSISTED LASER DESORPTION-IONIZATION;

EID: 84940259476     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2014.2318718     Document Type: Article

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