GSimp: A Gibbs sampler based left-censored missing value imputation approach for metabolomics studies

PLoS Computational Biology

Volumn 14, Issue 1, 2018, Pages

  Wei, Runmin ^a,b   Wang, Jingye ^a   Jia, Erik ^c   Chen, Tianlu ^d   Ni, Yan ^a   Jia, Wei ^a  

^a UNIVERSITY OF HAWAII CANCER CENTER   (United States)

^b UNIVERSITY OF HAWAII   (United States)

^c Punahou School   (United States)

^d SHANGHAI JIAO TONG UNIVERSITY AFFILIATED SIXTH PEOPLE S HOSPITAL   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA HANDLING; ITERATIVE METHODS; LARGE DATASET; MULTIVARIANT ANALYSIS;

DISTRIBUTION ANALYSIS; GIBBS SAMPLERS; IMPUTATION METHODS; METABOLOMIC STUDY; METABOLOMICS; MISSING NOT AT RANDOM; MISSING VALUE IMPUTATION; MISSING VALUES; PROCESSING PROCEDURES; REAL-WORLD;

PIPELINES;

BILE ACID; FATTY ACID;

ALGORITHM; ARTICLE; COMPUTER PREDICTION; COMPUTER SIMULATION; DATA ANALYSIS; DIABETES MELLITUS; GIBBS SAMPLER BASED LEFT CENSORED MISSING VALUE IMPUTATION; HUMAN; INTERMETHOD COMPARISON; METABOLOMICS; MULTIVARIATE ANALYSIS; NORMAL DISTRIBUTION; UNIVARIATE ANALYSIS; BIOLOGY; CHEMISTRY; COMPUTER LANGUAGE; FACTUAL DATABASE; LIMIT OF DETECTION; MARKOV CHAIN; MASS SPECTROMETRY; METABOLISM; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY; PROCEDURES; SOFTWARE; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; BILE ACIDS AND SALTS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DATABASES, FACTUAL; FATTY ACIDS, NONESTERIFIED; HUMANS; LIMIT OF DETECTION; MASS SPECTROMETRY; METABOLOMICS; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY; PROGRAMMING LANGUAGES; SOFTWARE; STOCHASTIC PROCESSES;

EID: 85041401127     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1005973     Document Type: Article

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