BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

104 related articles for article (PubMed ID: 16838067)

  • 21. CASPAR: a hierarchical bayesian approach to predict survival times in cancer from gene expression data.
    Kaderali L; Zander T; Faigle U; Wolf J; Schultze JL; Schrader R
    Bioinformatics; 2006 Jun; 22(12):1495-502. PubMed ID: 16554338
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Co-expression modules identified from published immune signatures reveal five distinct immune subtypes in breast cancer.
    Amara D; Wolf DM; van 't Veer L; Esserman L; Campbell M; Yau C
    Breast Cancer Res Treat; 2017 Jan; 161(1):41-50. PubMed ID: 27815749
    [TBL] [Abstract][Full Text] [Related]  

  • 23. High concordance of gene expression profiling-correlated immunohistochemistry algorithms in diffuse large B-cell lymphoma, not otherwise specified.
    Hwang HS; Park CS; Yoon DH; Suh C; Huh J
    Am J Surg Pathol; 2014 Aug; 38(8):1046-57. PubMed ID: 24705314
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A co-expression modules based gene selection for cancer recognition.
    Lu X; Deng Y; Huang L; Feng B; Liao B
    J Theor Biol; 2014 Dec; 362():75-82. PubMed ID: 24440175
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Promoter hypermethylation of the DNA-repair gene O6-methylguanine-DNA methyltransferase and p53 mutation in diffuse large B-cell lymphoma.
    Hiraga J; Kinoshita T; Ohno T; Mori N; Ohashi H; Fukami S; Noda A; Ichikawa A; Naoe T
    Int J Hematol; 2006 Oct; 84(3):248-55. PubMed ID: 17050200
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Molecular heterogeneity of diffuse large B-cell lymphoma: implications for disease management and prognosis.
    Rossi D; Gaidano G
    Hematology; 2002 Aug; 7(4):239-52. PubMed ID: 14972786
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Network regularised Cox regression and multiplex network models to predict disease comorbidities and survival of cancer.
    Xu H; Moni MA; Liò P
    Comput Biol Chem; 2015 Dec; 59 Pt B():15-31. PubMed ID: 26611766
    [TBL] [Abstract][Full Text] [Related]  

  • 28. [Analysis of genomic copy number alterations of malignant lymphomas and its application for diagnosis].
    Tagawa H
    Gan To Kagaku Ryoho; 2007 Jul; 34(7):975-82. PubMed ID: 17637530
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Microarray expression profiles of long non-coding RNAs in germinal center-like diffuse large B-cell lymphoma.
    Gao HY; Wu B; Yan W; Gong ZM; Sun Q; Wang HH; Yang W
    Oncol Rep; 2017 Sep; 38(3):1363-1372. PubMed ID: 28713985
    [TBL] [Abstract][Full Text] [Related]  

  • 30. FOXP2-positive diffuse large B-cell lymphomas exhibit a poor response to R-CHOP therapy and distinct biological signatures.
    Wong KK; Gascoyne DM; Soilleux EJ; Lyne L; Spearman H; Roncador G; Pedersen LM; Møller MB; Green TM; Banham AH
    Oncotarget; 2016 Aug; 7(33):52940-52956. PubMed ID: 27224915
    [TBL] [Abstract][Full Text] [Related]  

  • 31. QuantiGene Plex Represents a Promising Diagnostic Tool for Cell-of-Origin Subtyping of Diffuse Large B-Cell Lymphoma.
    Hall JS; Usher S; Byers RJ; Higgins RC; Memon D; Radford JA; Linton KM
    J Mol Diagn; 2015 Jul; 17(4):402-11. PubMed ID: 25982535
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Pathway analysis of informative genes from microarray data reveals that metabolism and signal transduction genes distinguish different subtypes of lymphomas.
    Mircean C; Tabus I; Kobayashi T; Yamaguchi M; Shiku H; Shmulevich I; Zhang W
    Int J Oncol; 2004 Mar; 24(3):497-504. PubMed ID: 14767533
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Discovering hidden connections among diseases, genes and drugs based on microarray expression profiles with negative-term filtering.
    Wu JS; Kao EF; Lee CN
    PLoS One; 2014; 9(6):e98826. PubMed ID: 24915461
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Meta-analysis of several gene lists for distinct types of cancer: a simple way to reveal common prognostic markers.
    Yang X; Sun X
    BMC Bioinformatics; 2007 Apr; 8():118. PubMed ID: 17411443
    [TBL] [Abstract][Full Text] [Related]  

  • 35. GO-2D: identifying 2-dimensional cellular-localized functional modules in Gene Ontology.
    Zhu J; Wang J; Guo Z; Zhang M; Yang D; Li Y; Wang D; Xiao G
    BMC Genomics; 2007 Jan; 8():30. PubMed ID: 17250772
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Peeling off the hidden genetic heterogeneities of cancers based on disease-relevant functional modules.
    Xu JZ; Guo Z; Zhang M; Li X; Li YJ; Rao SQ
    Mol Med; 2006; 12(1-3):25-33. PubMed ID: 16838067
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Unravelling the hidden heterogeneities of diffuse large B-cell lymphoma based on coupled two-way clustering.
    Zhang W; Li L; Li X; Jiang W; Huo J; Wang Y; Lin M; Rao S
    BMC Genomics; 2007 Sep; 8():332. PubMed ID: 17888167
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Pathway-based analysis of the hidden genetic heterogeneities in cancers.
    Zhao X; Zhong S; Zuo X; Lin M; Qin J; Luan Y; Zhang N; Liang Y; Rao S
    Genomics Proteomics Bioinformatics; 2014 Feb; 12(1):31-8. PubMed ID: 24462714
    [TBL] [Abstract][Full Text] [Related]  

  • 39.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 40.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.