BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

97 related articles for article (PubMed ID: 25183485)

  • 21. 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]  

  • 22. dCCA: detecting differential covariation patterns between two types of high-throughput omics data.
    Lee H; Ma T; Ke H; Ye Z; Chen S
    Brief Bioinform; 2024 May; 25(4):. PubMed ID: 38888456
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Dissecting the biological relationship between TCGA miRNA and mRNA sequencing data using MMiRNA-Viewer.
    Bai Y; Ding L; Baker S; Bai JM; Rath E; Jiang F; Wu J; Jiang H; Stuart G
    BMC Bioinformatics; 2016 Oct; 17(Suppl 13):336. PubMed ID: 27766936
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Analysis of microarray-identified genes and microRNAs associated with drug resistance in ovarian cancer.
    Zou J; Yin F; Wang Q; Zhang W; Li L
    Int J Clin Exp Pathol; 2015; 8(6):6847-58. PubMed ID: 26261572
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Ensemble Methods for MiRNA Target Prediction from Expression Data.
    Le TD; Zhang J; Liu L; Li J
    PLoS One; 2015; 10(6):e0131627. PubMed ID: 26114448
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Inferring data-specific micro-RNA function through the joint ranking of micro-RNA and pathways from matched micro-RNA and gene expression data.
    Patrick E; Buckley M; Müller S; Lin DM; Yang JY
    Bioinformatics; 2015 Sep; 31(17):2822-8. PubMed ID: 25910695
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Time-Course Gene Set Analysis for Longitudinal Gene Expression Data.
    Hejblum BP; Skinner J; Thiébaut R
    PLoS Comput Biol; 2015 Jun; 11(6):e1004310. PubMed ID: 26111374
    [TBL] [Abstract][Full Text] [Related]  

  • 28. The beagle dog MicroRNA tissue atlas: identifying translatable biomarkers of organ toxicity.
    Koenig EM; Fisher C; Bernard H; Wolenski FS; Gerrein J; Carsillo M; Gallacher M; Tse A; Peters R; Smith A; Meehan A; Tirrell S; Kirby P
    BMC Genomics; 2016 Aug; 17():649. PubMed ID: 27535741
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Two-dimensional statistical recoupling for the identification of perturbed metabolic networks from NMR spectroscopy.
    Blaise BJ; Navratil V; Domange C; Shintu L; Dumas ME; Elena-Herrmann B; Emsley L; Toulhoat P
    J Proteome Res; 2010 Sep; 9(9):4513-20. PubMed ID: 20590164
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Integrated gene set analysis for microRNA studies.
    Garcia-Garcia F; Panadero J; Dopazo J; Montaner D
    Bioinformatics; 2016 Sep; 32(18):2809-16. PubMed ID: 27324197
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Mutual enrichment in aggregated ranked lists with applications to gene expression regulation.
    Cohn-Alperovich D; Rabner A; Kifer I; Mandel-Gutfreund Y; Yakhini Z
    Bioinformatics; 2016 Sep; 32(17):i464-i472. PubMed ID: 27587663
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Detecting discordance enrichment among a series of two-sample genome-wide expression data sets.
    Lai Y; Zhang F; Nayak TK; Modarres R; Lee NH; McCaffrey TA
    BMC Genomics; 2017 Jan; 18(Suppl 1):1050. PubMed ID: 28198679
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Identification of four functionally important microRNA families with contrasting differential expression profiles between drought-tolerant and susceptible rice leaf at vegetative stage.
    Cheah BH; Nadarajah K; Divate MD; Wickneswari R
    BMC Genomics; 2015 Sep; 16(1):692. PubMed ID: 26369665
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Computational methods for analysis of cellular functions and pathways collectively targeted by differentially expressed microRNA.
    Gusev Y
    Methods; 2008 Jan; 44(1):61-72. PubMed ID: 18158134
    [TBL] [Abstract][Full Text] [Related]  

  • 35. miEAA: microRNA enrichment analysis and annotation.
    Backes C; Khaleeq QT; Meese E; Keller A
    Nucleic Acids Res; 2016 Jul; 44(W1):W110-6. PubMed ID: 27131362
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Random forests-based differential analysis of gene sets for gene expression data.
    Hsueh HM; Zhou DW; Tsai CA
    Gene; 2013 Apr; 518(1):179-86. PubMed ID: 23219997
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Three-microRNA signature identified by bioinformatics analysis predicts prognosis of gastric cancer patients.
    Zhang C; Zhang CD; Ma MH; Dai DQ
    World J Gastroenterol; 2018 Mar; 24(11):1206-1215. PubMed ID: 29568201
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Ridle for sparse regression with mandatory covariates with application to the genetic assessment of histologic grades of breast cancer.
    Zhai J; Hsu CH; Daye ZJ
    BMC Med Res Methodol; 2017 Jan; 17(1):12. PubMed ID: 28122498
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Biomarker identification and cancer classification based on microarray data using Laplace naive Bayes model with mean shrinkage.
    Wu MY; Dai DQ; Shi Y; Yan H; Zhang XF
    IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(6):1649-62. PubMed ID: 22868679
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Functional annotation of differentially regulated gene set using WebGestalt: a gene set predictive of response to ipilimumab in tumor biopsies.
    Kirov S; Ji R; Wang J; Zhang B
    Methods Mol Biol; 2014; 1101():31-42. PubMed ID: 24233776
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 5.