BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

111 related articles for article (PubMed ID: 21890453)

  • 1. The reconstruction of transcriptional networks reveals critical genes with implications for clinical outcome of multiple myeloma.
    Agnelli L; Forcato M; Ferrari F; Tuana G; Todoerti K; Walker BA; Morgan GJ; Lombardi L; Bicciato S; Neri A
    Clin Cancer Res; 2011 Dec; 17(23):7402-12. PubMed ID: 21890453
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Molecular classification of multiple myeloma: a distinct transcriptional profile characterizes patients expressing CCND1 and negative for 14q32 translocations.
    Agnelli L; Bicciato S; Mattioli M; Fabris S; Intini D; Verdelli D; Baldini L; Morabito F; Callea V; Lombardi L; Neri A
    J Clin Oncol; 2005 Oct; 23(29):7296-306. PubMed ID: 16129847
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Gene expression analysis in clear cell renal cell carcinoma using gene set enrichment analysis for biostatistical management.
    Maruschke M; Reuter D; Koczan D; Hakenberg OW; Thiesen HJ
    BJU Int; 2011 Jul; 108(2 Pt 2):E29-35. PubMed ID: 21435154
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Genome-wide prediction of transcriptional regulatory elements of human promoters using gene expression and promoter analysis data.
    Kim SY; Kim Y
    BMC Bioinformatics; 2006 Jul; 7():330. PubMed ID: 16817975
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A network inference workflow applied to virulence-related processes in Salmonella typhimurium.
    Taylor RC; Singhal M; Weller J; Khoshnevis S; Shi L; McDermott J
    Ann N Y Acad Sci; 2009 Mar; 1158():143-58. PubMed ID: 19348639
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Reconstructing directed signed gene regulatory network from microarray data.
    Qiu P; Plevritis SK
    IEEE Trans Biomed Eng; 2011 Dec; 58(12):3518-21. PubMed ID: 21803675
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A novel meta-analysis approach of cancer transcriptomes reveals prevailing transcriptional networks in cancer cells.
    Niida A; Imoto S; Nagasaki M; Yamaguchi R; Miyano S
    Genome Inform; 2010 Jan; 22():121-31. PubMed ID: 20238423
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of gene transcript signatures predictive for estrogen receptor and lymph node status using a stepwise forward selection artificial neural network modelling approach.
    Lancashire LJ; Rees RC; Ball GR
    Artif Intell Med; 2008 Jun; 43(2):99-111. PubMed ID: 18420392
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Reconstructing biological networks using conditional correlation analysis.
    Rice JJ; Tu Y; Stolovitzky G
    Bioinformatics; 2005 Mar; 21(6):765-73. PubMed ID: 15486043
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multiple gene expression classifiers from different array platforms predict poor prognosis of colorectal cancer.
    Lin YH; Friederichs J; Black MA; Mages J; Rosenberg R; Guilford PJ; Phillips V; Thompson-Fawcett M; Kasabov N; Toro T; Merrie AE; van Rij A; Yoon HS; McCall JL; Siewert JR; Holzmann B; Reeve AE
    Clin Cancer Res; 2007 Jan; 13(2 Pt 1):498-507. PubMed ID: 17255271
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Reconstruction of transcriptional network from microarray data using combined mutual information and network-assisted regression.
    Wang XD; Qi YX; Jiang ZL
    IET Syst Biol; 2011 Mar; 5(2):95-102. PubMed ID: 21405197
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Cyclin D1 overexpression is not a specific grouping marker, but may collaborate with CDC37 in myeloma cells.
    Katayama Y; Sakai A; Okikawa Y; Oue N; Asaoku H; Sasaki A; Imanaka F; Tsujimoto T; Takimoto Y; Masuda R; Nakaju N; Otsuki T; Yasui W; Kimura A
    Int J Oncol; 2004 Sep; 25(3):579-95. PubMed ID: 15289859
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of survival in multiple myeloma based on gene expression profiles reveals cell cycle and chromosomal instability signatures in high-risk patients and hyperdiploid signatures in low-risk patients: a study of the Intergroupe Francophone du Myélome.
    Decaux O; Lodé L; Magrangeas F; Charbonnel C; Gouraud W; Jézéquel P; Attal M; Harousseau JL; Moreau P; Bataille R; Campion L; Avet-Loiseau H; Minvielle S;
    J Clin Oncol; 2008 Oct; 26(29):4798-805. PubMed ID: 18591550
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Fast calculation of pairwise mutual information for gene regulatory network reconstruction.
    Qiu P; Gentles AJ; Plevritis SK
    Comput Methods Programs Biomed; 2009 May; 94(2):177-80. PubMed ID: 19167129
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Post-transcriptional Modifications Contribute to the Upregulation of Cyclin D2 in Multiple Myeloma.
    Misiewicz-Krzeminska I; Sarasquete ME; Vicente-Dueñas C; Krzeminski P; Wiktorska K; Corchete LA; Quwaider D; Rojas EA; Corral R; Martín AA; Escalante F; Bárez A; García JL; Sánchez-García I; García-Sanz R; San Miguel JF; Gutiérrez NC
    Clin Cancer Res; 2016 Jan; 22(1):207-17. PubMed ID: 26341922
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Accurate outcome prediction in neuroblastoma across independent data sets using a multigene signature.
    De Preter K; Vermeulen J; Brors B; Delattre O; Eggert A; Fischer M; Janoueix-Lerosey I; Lavarino C; Maris JM; Mora J; Nakagawara A; Oberthuer A; Ohira M; Schleiermacher G; Schramm A; Schulte JH; Wang Q; Westermann F; Speleman F; Vandesompele J
    Clin Cancer Res; 2010 Mar; 16(5):1532-41. PubMed ID: 20179214
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Using the bioconductor GeneAnswers package to interpret gene lists.
    Feng G; Shaw P; Rosen ST; Lin SM; Kibbe WA
    Methods Mol Biol; 2012; 802():101-12. PubMed ID: 22130876
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Inferring large-scale gene regulatory networks using a low-order constraint-based algorithm.
    Wang M; Augusto Benedito V; Xuechun Zhao P; Udvardi M
    Mol Biosyst; 2010 Jun; 6(6):988-98. PubMed ID: 20485743
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data.
    Shedden K; Chen W; Kuick R; Ghosh D; Macdonald J; Cho KR; Giordano TJ; Gruber SB; Fearon ER; Taylor JM; Hanash S
    BMC Bioinformatics; 2005 Feb; 6():26. PubMed ID: 15705192
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Chromatin-based, in cis and in trans regulatory rewiring underpins distinct oncogenic transcriptomes in multiple myeloma.
    Alvarez-Benayas J; Trasanidis N; Katsarou A; Ponnusamy K; Chaidos A; May PC; Xiao X; Bua M; Atta M; Roberts IAG; Auner HW; Hatjiharissi E; Papaioannou M; Caputo VS; Sudbery IM; Karadimitris A
    Nat Commun; 2021 Sep; 12(1):5450. PubMed ID: 34521827
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.