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Volumn 59, Issue 2, 2004, Pages 232-236

Data pattern analysis for the individualised pretherapeutic identification of high-risk diffuse large B-cell lymphoma (DLBCL) patients by cytomics

Author keywords

Cytomics; Data pattern classification; Data sieving; Diffuse large B cell lymphoma; DLBCL; Predictive medicine

Indexed keywords

ARTICLE; CANCER CLASSIFICATION; CANCER SURVIVAL; CLINICAL TRIAL; CYTOMETRY; DATA ANALYSIS; DIFFUSE LARGE B CELL LYMPHOMA; DNA MICROARRAY; GENE EXPRESSION; HIGH RISK PATIENT; HUMAN; LARGE CELL LYMPHOMA; LYMPHOCYTE; META ANALYSIS; PERFORMANCE; PRIORITY JOURNAL; PROGNOSIS; PROSPECTIVE STUDY; SYSTEMATIC REVIEW; VALIDATION PROCESS;

EID: 2942555469     PISSN: 15524922     EISSN: None     Source Type: Journal    
DOI: 10.1002/cyto.a.20057     Document Type: Article
Times cited : (15)

References (9)
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    • Pharmacogenetics and the future of medical practice
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    • Predictive ability of DNA microarrays for cancer outcomes and correlates: An empirical assessment
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    • Ntzani, E.E.1    Ioannidis, J.P.A.2
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    • Predictive medicine by cytomics: Potential and challenges
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    • (2002) J Biol Regul Homeost Agents , vol.16 , pp. 164-167
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  • 9
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    • Pretherapeutic identification of high-risk acute myeloid leukemia (AML) patients from immunophenotypic, cytogenetic, and clinical parameters
    • Valet G, Repp R, Link H, Ehninger G, Gramatzki M, SHG-AML study group. Pretherapeutic identification of high-risk acute myeloid leukemia (AML) patients from immunophenotypic, cytogenetic, and clinical parameters. Cytometry 2003;53B:4-10.
    • (2003) Cytometry , vol.53 B , pp. 4-10
    • Valet, G.1    Repp, R.2    Link, H.3    Ehninger, G.4    Gramatzki, M.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.