Multi-class alignment of LC-MS data using probabilistic-based mixture regression models

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 4094-4097

  Befekadu, Getachew K ^a   Tadesse, Mahlet G ^b   Hathout, Yetrib ^c   Ressom, Habtom W ^a  

^a GEORGETOWN UNIVERSITY   (United States)

^b GEORGETOWN UNIVERSITY   (United States)

^c CHILDREN'S NATIONAL MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALIGNMENT; ESCHERICHIA COLI; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; MAXIMUM PRINCIPLE; MIXTURES;

CONTINUOUS PROFILE; DYNAMIC TIME WARPING; EXPECTATION-MAXIMIZATION ALGORITHMS; JOINT PARAMETERS; LIQUID CHROMATOGRAPHY-MASS SPECTROMETRY; MEASUREMENT SPACES; MIXTURE REGRESSION; PROOF OF CONCEPT;

REGRESSION ANALYSIS;

ALGORITHM; ARTICLE; ESCHERICHIA COLI; INFORMATION PROCESSING; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; METABOLISM; METHODOLOGY; NORMAL DISTRIBUTION; PROBABILITY; SIGNAL PROCESSING; STATISTICAL MODEL; THEORETICAL MODEL; TIME;

ALGORITHMS; AUTOMATIC DATA PROCESSING; CHROMATOGRAPHY, LIQUID; ESCHERICHIA COLI; MASS SPECTROMETRY; MODELS, STATISTICAL; MODELS, THEORETICAL; NORMAL DISTRIBUTION; PROBABILITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS;

EID: 61849127833     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4650109     Document Type: Conference Paper

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