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Volumn , Issue , 2009, Pages 451-463

A bayesian integration model of high-throughput proteomics and metabolomics data for improved early detection of microbial infections

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN APPROACHES; BAYESIAN EVALUATION; BAYESIAN INTEGRATION; CLASS LEVEL; CLASSIFICATION ACCURACY; DATA SETS; DATA TYPE; GLOBAL SCALE; HIGH-THROUGHPUT; INTEGRATED DATA; LIKELIHOOD FUNCTIONS; METABOLOMES; METABOLOMICS; METABOLOMICS DATA; MICROBIAL INFECTIONS; MULTIPLE DATA SOURCES; POSTERIOR PROBABILITY; PROTEOMICS; STATISTICAL LEARNING; VISUAL INTEGRATION; VISUALIZATION TOOLS;

EID: 61949377666     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (20)

References (24)
  • 9
    • 84873036335 scopus 로고    scopus 로고
    • D. Hwang et al., PNAS 102, 48 (2005).
    • (2005) PNAS , vol.102 , pp. 48
    • Hwang, D.1
  • 10
    • 84873027255 scopus 로고    scopus 로고
    • L.J. Lu et al., Genome Res 15, 7 (2005).
    • (2005) Genome Res , vol.15 , pp. 7
    • Lu, L.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.