Detecting Common Gene Expression Patterns in Multiple Cancer Outcome Entities

被引：0
作者：
Xinan Yang
Stefan Bentink
Rainer Spang
机构：
[1] MPI for Molecular Genetics,Computational Diagnostics Group, Department of Computational Molecular Biology
[2] Southeast University,State Key Laboratory of Bioelectronics
来源：
Biomedical Microdevices | 2005年 / 7卷
关键词：
molecular cancer mechanisms; meta-analysis; computational diagnostics; microarrays; bioinformatics;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Most oncological microarray studies focus on molecular distinctions in different cancer entities. Recently, researchers started using microarrays for investigating molecular commonalities of multiple cancer types. This poses novel bioinformatics challenges.
引用
收藏
页码：247 / 251
页数：4
相关论文
共 50 条
  • [1] Detecting common gene expression patterns in multiple cancer outcome entities
    Yang, XN
    Bentink, S
    Spang, R
    BIOMEDICAL MICRODEVICES, 2005, 7 (03) : 247 - 251
  • [2] Cilia Gene Expression Patterns in Cancer
    Shpak, Max
    Goldberg, Marcus M.
    Cowperthwaite, Matthew C.
    CANCER GENOMICS & PROTEOMICS, 2014, 11 (01) : 13 - 24
  • [3] A validated gene expression profile for detecting clinical outcome in breast cancer using artificial neural networks
    Lancashire, L. J.
    Powe, D. G.
    Reis-Filho, J. S.
    Rakha, E.
    Lemetre, C.
    Weigelt, B.
    Abdel-Fatah, T. M.
    Green, A. R.
    Mukta, R.
    Blamey, R.
    Paish, E. C.
    Rees, R. C.
    Ellis, I. O.
    Ball, G. R.
    BREAST CANCER RESEARCH AND TREATMENT, 2010, 120 (01) : 83 - 93
  • [4] A validated gene expression profile for detecting clinical outcome in breast cancer using artificial neural networks
    L. J. Lancashire
    D. G. Powe
    J. S. Reis-Filho
    E. Rakha
    C. Lemetre
    B. Weigelt
    T. M. Abdel-Fatah
    A. R. Green
    R. Mukta
    R. Blamey
    E. C. Paish
    R. C. Rees
    I. O. Ellis
    G. R. Ball
    Breast Cancer Research and Treatment, 2010, 120 : 83 - 93
  • [5] Methods for multiple outcome meta-analysis of gene-expression data
    Vennou, Konstantina E.
    Piovani, Daniele
    Kontou, Panagiota, I
    Bonovas, Stefanos
    Bagos, Pantelis G.
    METHODSX, 2020, 7
  • [6] Bimodal gene expression patterns in breast cancer
    Bessarabova, Marina
    Kirillov, Eugene
    Shi, Weiwei
    Bugrim, Andrej
    Nikolsky, Yuri
    Nikolskaya, Tatiana
    BMC GENOMICS, 2010, 11
  • [7] Identification of a Gene Expression Signature Common to Distinct Cancer Pathways
    Fankhauser, Niklaus
    Cima, Igor
    Wild, Peter
    Krek, Wilhelm
    CANCER INFORMATICS, 2012, 11 : 139 - 146
  • [8] Sherlock: Detecting Gene-Disease Associations by Matching Patterns of Expression QTL and GWAS
    He, Xin
    Fuller, Chris K.
    Song, Yi
    Meng, Qingying
    Zhang, Bin
    Yang, Xia
    Li, Hao
    AMERICAN JOURNAL OF HUMAN GENETICS, 2013, 92 (05) : 667 - 680
  • [9] AN ADAPTIVELY WEIGHTED STATISTIC FOR DETECTING DIFFERENTIAL GENE EXPRESSION WHEN COMBINING MULTIPLE TRANSCRIPTOMIC STUDIES
    Li, Jia
    Tseng, George C.
    ANNALS OF APPLIED STATISTICS, 2011, 5 (2A) : 994 - 1019
  • [10] Gene expression patterns, prognostic and diagnostic markers, and lung cancer biology
    Kaminski, N
    Krupsky, M
    CHEST, 2004, 125 (05) : 111S - 115S
12345