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Volumn 365, Issue 9460, 2005, Pages 634-635

Gene-expression profiling in breast cancer

Author keywords

[No Author keywords available]

Indexed keywords

BREAST CANCER; CORRELATION ANALYSIS; DNA MICROARRAY; FOLLOW UP; GENE EXPRESSION; GENETIC ANALYSIS; HUMAN; LYMPH NODE; NOTE; OUTCOMES RESEARCH; PREDICTION; PRIORITY JOURNAL; RISK ASSESSMENT; SENSITIVITY ANALYSIS; VALIDATION PROCESS;

EID: 13844308671     PISSN: 01406736     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0140-6736(05)70911-9     Document Type: Note
Times cited : (28)

References (11)
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  • 2
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  • 3
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    • Estrogen receptor status in breast cancer is associated with remarkably distinct gene expression patterns
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    • Gruvberger, S.1    Ringner, M.2    Chen, Y.3
  • 4
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    • Predicting the clinical status of human breast cancer by using gene expression profiles
    • West M, Blanchette C, Dressman H, et al. Predicting the clinical status of human breast cancer by using gene expression profiles. Proc Natl Acad Sci USA. 98:2001;11462-11467
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  • 5
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  • 6
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    • Gene expression predictors of breast cancer outcomes
    • Huang E, Cheng SH, Dressman H, et al. Gene expression predictors of breast cancer outcomes. Lancet. 361:2003;1590-1596
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    • Huang, E.1    Cheng, S.H.2    Dressman, H.3
  • 7
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    • Multiclass cancer diagnosis using tumor gene expression signatures
    • Ramaswamy S, Tamayo P, Rifkin R, et al. Multiclass cancer diagnosis using tumor gene expression signatures. Proc Natl Acad Sci USA. 98:2001;15149-15154
    • (2001) Proc Natl Acad Sci USA , vol.98 , pp. 15149-15154
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  • 8
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    • Outcome signature genes in breast cancer: Is there a unique set?
    • Ein-Dor L, Kela I, Getz G, Givol D, Domany E. Outcome signature genes in breast cancer: is there a unique set? Bioinformatics. 21:2005;171-178
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  • 9
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    • QA/QC: Challenges and pitfalls facing the microarray community and regulatory agencies
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  • 10
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.