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
  • [41] Simultaneous Clustering of Multiple Heterogeneous Gene Expression Datasets
    Abu-Jamous, Basel
    Kelly, Steven
    2017 IEEE JORDAN CONFERENCE ON APPLIED ELECTRICAL ENGINEERING AND COMPUTING TECHNOLOGIES (AEECT), 2017,
  • [42] Site-Specific and Common Prostate Cancer Metastasis Genes as Suggested by Meta-Analysis of Gene Expression Data
    Samarzija, Ivana
    LIFE-BASEL, 2021, 11 (07):
  • [43] Detecting Cancer Gene Networks Characterized by Recurrent Genomic Alterations in a Population
    Efroni, Sol
    Ben-Hamo, Rotem
    Edmonson, Michael
    Greenblum, Sharon
    Schaefer, Carl F.
    Buetow, Kenneth H.
    PLOS ONE, 2011, 6 (01):
  • [44] Generation of microarrays for the study of gene expression patterns in Ralstonia solanacearum
    Simpkins, SA
    Friscina, A
    Madagan, K
    Elphinstone, JG
    Stead, DE
    PSEUDOMONAS SYRINGAE AND RELATED PATHOGENS: BIOLOGY AND GENETICS, 2003, : 399 - 403
  • [45] Gene Expression Patterns Associated With Histopathology in Toxic Liver Fibrosis
    Ippolito, Danielle L.
    AbdulHameed, Mohamed Diwan M.
    Tawa, Gregory J.
    Baer, Christine E.
    Permenter, Matthew G.
    McDyre, Bonna C.
    Dennis, William E.
    Boyle, Molly H.
    Hobbs, Cheryl A.
    Streicker, Michael A.
    Snowden, Bobbi S.
    Lewis, John A.
    Wallqvist, Anders
    Stallings, Jonathan D.
    TOXICOLOGICAL SCIENCES, 2016, 149 (01) : 67 - 88
  • [46] Discovering high-order patterns of gene expression levels
    Wong, Andrew K. C.
    Au, Wai-Ho
    Chan, Keith C. C.
    JOURNAL OF COMPUTATIONAL BIOLOGY, 2008, 15 (06) : 625 - 637
  • [47] Identification of cancer-specific biomarkers by using microarray gene expression profiling
    Chai, Jin Choul
    Park, Soojun
    Seo, Hyemyung
    Cho, Soo Young
    Lee, Young Seek
    BIOCHIP JOURNAL, 2013, 7 (01) : 57 - 62
  • [48] Identification of cancer-specific biomarkers by using microarray gene expression profiling
    Jin Choul Chai
    Soojun Park
    Hyemyung Seo
    Soo Young Cho
    Young Seek Lee
    BioChip Journal, 2013, 7 : 57 - 62
  • [49] Altered gene expression in glycolysis-cholesterol synthesis axis correlates with outcome of triple-negative breast cancer
    Zhong, Peng-Cheng
    Shu, Rong
    Wu, Hui-Wen
    Liu, Zhi-Wen
    Shen, Xiao-Ling
    Hu, Ying-Jie
    EXPERIMENTAL BIOLOGY AND MEDICINE, 2021, 246 (05) : 560 - 571
  • [50] Prediction of multiple drug resistance phenotype in cancer cell lines using gene expression profiles and phylogenetic trees
    Liu XinYi
    Li ZuoFeng
    Wen JingRan
    Cai QingQing
    Xu Ye
    Zhang XiaoYan
    CHINESE SCIENCE BULLETIN, 2010, 55 (33): : 3778 - 3786