Balancing the robustness and predictive performance of biomarkers

Journal of Computational Biology

Volumn 20, Issue 12, 2013, Pages 979-989

  Kirk, Paul ^a   Witkover, Aviva ^b   Bangham, Charles R M ^b   Richardson, Sylvia ^c   Lewin, Alexandra M ^b   Stumpf, Michael P H ^d  

^a Division of Molecular Biosciences   (United Kingdom)

^b Department of Immunology ^*  (United Kingdom)

^c MRC BIOSTATISTICS UNIT   (United Kingdom)

^d IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

machine learning; proteins; reverse engineering; statistical models; statistics.

Indexed keywords

BIOLOGICAL MARKER;

ALGORITHM; ARTICLE; BLOOD; COMPUTER SIMULATION; HUMAN; HUMAN T CELL LEUKEMIA VIRUS 1; HUMAN T CELL LEUKEMIA VIRUS INFECTION; ISOLATION AND PURIFICATION; PREDICTIVE VALUE; STATISTICAL MODEL; TROPICAL SPASTIC PARAPARESIS;

ALGORITHMS; BIOLOGICAL MARKERS; COMPUTER SIMULATION; HTLV-I INFECTIONS; HUMAN T-LYMPHOTROPIC VIRUS 1; HUMANS; LIKELIHOOD FUNCTIONS; PARAPARESIS, TROPICAL SPASTIC; PREDICTIVE VALUE OF TESTS;

EID: 84888388417     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/cmb.2013.0018     Document Type: Article

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