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Volumn 56, Issue 6, 2012, Pages 1423-

Network-based discovery of gene signature for vascular invasion prediction in HCC

Author keywords

[No Author keywords available]

Indexed keywords

ARID3A GENE; C8B GENE; CANCER INVASION; CANCER PROGNOSIS; CANCER SURVIVAL; CANCER VASCULAR INVASION; CD86 GENE; FYB GENE; GENE; GENE EXPRESSION PROFILING; GENE PRODUCT; GHR GENE; GLYAT GENE; HIST1H2AE GENE; HUMAN; IFI44 GENE; LETTER; LIVER CELL CARCINOMA; MICROARRAY ANALYSIS; MRPS16 GENE; PREDICTIVE VALUE; PRIORITY JOURNAL; PTTG1 GENE; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; TNPO2 GENE; TXNDC12 GENE; WEIGHTED GENE COEXPRESSION NETWORK ANALYSIS;

EID: 84862831042     PISSN: 01688278     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhep.2011.11.028     Document Type: Letter
Times cited : (1)

References (5)
  • 2
    • 64749091536 scopus 로고    scopus 로고
    • Vascular invasion is the most important predictor of survival in HCC, but how do we find it?
    • P.J. Thuluvath Vascular invasion is the most important predictor of survival in HCC, but how do we find it? J Clin Gastroenterol 43 2009 101 102
    • (2009) J Clin Gastroenterol , vol.43 , pp. 101-102
    • Thuluvath, P.J.1
  • 3
    • 23944458138 scopus 로고    scopus 로고
    • A general framework for weighted gene co-expression network analysis
    • Article17
    • B. Zhang, and S. Horvath A general framework for weighted gene co-expression network analysis Stat Appl Genet Mol Biol 4 2005 Article17
    • (2005) Stat Appl Genet Mol Biol , vol.4
    • Zhang, B.1    Horvath, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.