These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

67 related articles for article (PubMed ID: 16815221)

  • 1. Null-free False Discovery Rate Control Using Decoy Permutations.
    He K; Li MJ; Fu Y; Gong FZ; Sun XM
    Acta Math Appl Sin; 2022; 38(2):235-253. PubMed ID: 35431377
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Role of lysyl oxidase like 1 in regulation of postpartum connective tissue metabolism in the mouse vagina†.
    Borazjani A; Couri BM; Kuang M; Balog BM; Damaser MS
    Biol Reprod; 2019 Nov; 101(5):916-927. PubMed ID: 31403161
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Developmental Stage, Muscle and Genetic Type Modify Muscle Transcriptome in Pigs: Effects on Gene Expression and Regulatory Factors Involved in Growth and Metabolism.
    Ayuso M; Fernández A; Núñez Y; Benítez R; Isabel B; Fernández AI; Rey AI; González-Bulnes A; Medrano JF; Cánovas Á; López-Bote CJ; Óvilo C
    PLoS One; 2016; 11(12):e0167858. PubMed ID: 27936208
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Transcriptional Regulation of Connective Tissue Metabolism Genes in Women With Pelvic Organ Prolapse.
    Borazjani A; Kow N; Harris S; Ridgeway B; Damaser MS
    Female Pelvic Med Reconstr Surg; 2017; 23(1):44-52. PubMed ID: 27636223
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparative Analysis of Muscle Transcriptome between Pig Genotypes Identifies Genes and Regulatory Mechanisms Associated to Growth, Fatness and Metabolism.
    Ayuso M; Fernández A; Núñez Y; Benítez R; Isabel B; Barragán C; Fernández AI; Rey AI; Medrano JF; Cánovas Á; González-Bulnes A; López-Bote C; Ovilo C
    PLoS One; 2015; 10(12):e0145162. PubMed ID: 26695515
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Longissimus dorsi transcriptome analysis of purebred and crossbred Iberian pigs differing in muscle characteristics.
    Ovilo C; Benítez R; Fernández A; Núñez Y; Ayuso M; Fernández AI; Rodríguez C; Isabel B; Rey AI; López-Bote C; Silió L
    BMC Genomics; 2014 May; 15():413. PubMed ID: 24885501
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Influence of statistical estimators of mutual information and data heterogeneity on the inference of gene regulatory networks.
    de Matos Simoes R; Emmert-Streib F
    PLoS One; 2011; 6(12):e29279. PubMed ID: 22242113
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A new gene selection procedure based on the covariance distance.
    Hu R; Qiu X; Glazko G
    Bioinformatics; 2010 Feb; 26(3):348-54. PubMed ID: 19996162
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Detecting intergene correlation changes in microarray analysis: a new approach to gene selection.
    Hu R; Qiu X; Glazko G; Klebanov L; Yakovlev A
    BMC Bioinformatics; 2009 Jan; 10():20. PubMed ID: 19146700
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Class-specific correlations of gene expressions: identification and their effects on clustering analyses.
    Zhang J; Li J; Deng H
    Am J Hum Genet; 2008 Aug; 83(2):269-77. PubMed ID: 18674746
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Revisiting adverse effects of cross-hybridization in Affymetrix gene expression data: do they matter for correlation analysis?
    Klebanov L; Chen L; Yakovlev A
    Biol Direct; 2007 Nov; 2():28. PubMed ID: 17988401
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Construction, visualisation, and clustering of transcription networks from microarray expression data.
    Freeman TC; Goldovsky L; Brosch M; van Dongen S; Mazière P; Grocock RJ; Freilich S; Thornton J; Enright AJ
    PLoS Comput Biol; 2007 Oct; 3(10):2032-42. PubMed ID: 17967053
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Is there an alternative to increasing the sample size in microarray studies?
    Klebanov L; Yakovlev A
    Bioinformation; 2007 Apr; 1(10):429-31. PubMed ID: 17597934
    [TBL] [Abstract][Full Text] [Related]  

  • 14. How high is the level of technical noise in microarray data?
    Klebanov L; Yakovlev A
    Biol Direct; 2007 Apr; 2():9. PubMed ID: 17428341
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The microarray data analysis process: from raw data to biological significance.
    Olson NE
    NeuroRx; 2006 Jul; 3(3):373-83. PubMed ID: 16815220
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Microarrays in Parkinson's disease: a systematic approach.
    Miller RM; Federoff HJ
    NeuroRx; 2006 Jul; 3(3):319-26. PubMed ID: 16815215
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Single cell gene expression profiling in Alzheimer's disease.
    Ginsberg SD; Che S; Counts SE; Mufson EJ
    NeuroRx; 2006 Jul; 3(3):302-18. PubMed ID: 16815214
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Utility of correlation measures in analysis of gene expression.
    Almudevar A; Klebanov LB; Qiu X; Salzman P; Yakovlev AY
    NeuroRx; 2006 Jul; 3(3):384-95. PubMed ID: 16815221
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The effects of normalization on the correlation structure of microarray data.
    Qiu X; Brooks AI; Klebanov L; Yakovlev N
    BMC Bioinformatics; 2005 May; 6():120. PubMed ID: 15904488
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 4.