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 *

109 related articles for article (PubMed ID: 31115886)

  • 1. Statistical Analysis of Microarray Data.
    Gonzalo Sanz R; Sánchez-Pla A
    Methods Mol Biol; 2019; 1986():87-121. PubMed ID: 31115886
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Microarray data analysis.
    Mohapatra SK; Krishnan A
    Methods Mol Biol; 2011; 678():27-43. PubMed ID: 20931370
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Bioinformatics analysis of microarray data.
    Zhang Y; Szustakowski J; Schinke M
    Methods Mol Biol; 2009; 573():259-84. PubMed ID: 19763933
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Pre-processing of microarray data and analysis of differential expression.
    Durinck S
    Methods Mol Biol; 2008; 452():89-110. PubMed ID: 18563370
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Microarray data analysis and mining.
    Saviozzi S; Iazzetti G; Caserta E; Guffanti A; Calogero RA
    Methods Mol Med; 2004; 94():67-90. PubMed ID: 14959823
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CARMAweb: comprehensive R- and bioconductor-based web service for microarray data analysis.
    Rainer J; Sanchez-Cabo F; Stocker G; Sturn A; Trajanoski Z
    Nucleic Acids Res; 2006 Jul; 34(Web Server issue):W498-503. PubMed ID: 16845058
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Performing statistical analyses on quantitative data in Taverna workflows: an example using R and maxdBrowse to identify differentially-expressed genes from microarray data.
    Li P; Castrillo JI; Velarde G; Wassink I; Soiland-Reyes S; Owen S; Withers D; Oinn T; Pocock MR; Goble CA; Oliver SG; Kell DB
    BMC Bioinformatics; 2008 Aug; 9():334. PubMed ID: 18687127
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of Culprit Genes for Different Diseases by Analyzing Microarray Data.
    Banerjee AK; Ghosh S; Mal C
    Methods Mol Biol; 2024; 2719():167-180. PubMed ID: 37803118
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Micro-Analyzer: automatic preprocessing of Affymetrix microarray data.
    Guzzi PH; Cannataro M
    Comput Methods Programs Biomed; 2013 Aug; 111(2):402-9. PubMed ID: 23731720
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Pipeline for Integrated Microarray Expression Normalization Tool Kit (PIMENTo) for Tumor Microarray Profiling Experiments.
    Nash T; Huff M; Glen WB; Hardiman G
    Methods Mol Biol; 2019; 1908():153-168. PubMed ID: 30649727
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A microarray analysis for differential gene expression in the soybean genome using Bioconductor and R.
    Gregory Alvord W; Roayaei JA; Quiñones OA; Schneider KT
    Brief Bioinform; 2007 Nov; 8(6):415-31. PubMed ID: 17906332
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages.
    Taminau J; Meganck S; Lazar C; Steenhoff D; Coletta A; Molter C; Duque R; de Schaetzen V; Weiss Solís DY; Bersini H; Nowé A
    BMC Bioinformatics; 2012 Dec; 13():335. PubMed ID: 23259851
    [TBL] [Abstract][Full Text] [Related]  

  • 13. MAAMD: a workflow to standardize meta-analyses and comparison of affymetrix microarray data.
    Gan Z; Wang J; Salomonis N; Stowe JC; Haddad GG; McCulloch AD; Altintas I; Zambon AC
    BMC Bioinformatics; 2014 Mar; 15():69. PubMed ID: 24621103
    [TBL] [Abstract][Full Text] [Related]  

  • 14. BART: bioinformatics array research tool.
    Amaral ML; Erikson GA; Shokhirev MN
    BMC Bioinformatics; 2018 Aug; 19(1):296. PubMed ID: 30089462
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Arrayplot for visualization and normalization of cDNA microarray data.
    Marc P; Jacq C
    Bioinformatics; 2002 Jun; 18(6):888-9. PubMed ID: 12075027
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Quality Control Usage in High-Density Microarrays Reveals Differential Gene Expression Profiles in Ovarian Cancer.
    Villegas-Ruiz V; Moreno J; Jacome-Lopez K; Zentella-Dehesa A; Juarez-Mendez S
    Asian Pac J Cancer Prev; 2016; 17(5):2519-25. PubMed ID: 27268623
    [TBL] [Abstract][Full Text] [Related]  

  • 17. virtualArray: a R/bioconductor package to merge raw data from different microarray platforms.
    Heider A; Alt R
    BMC Bioinformatics; 2013 Mar; 14():75. PubMed ID: 23452776
    [TBL] [Abstract][Full Text] [Related]  

  • 18. On the identification of differentially expressed genes: improving the generalized F-statistics for Affymetrix microarray gene expression data.
    Lai Y
    Comput Biol Chem; 2006 Oct; 30(5):321-6. PubMed ID: 16979381
    [TBL] [Abstract][Full Text] [Related]  

  • 19. pcaMethods--a bioconductor package providing PCA methods for incomplete data.
    Stacklies W; Redestig H; Scholz M; Walther D; Selbig J
    Bioinformatics; 2007 May; 23(9):1164-7. PubMed ID: 17344241
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computational strategies for analyzing data in gene expression microarray experiments.
    Aittokallio T; Kurki M; Nevalainen O; Nikula T; West A; Lahesmaa R
    J Bioinform Comput Biol; 2003 Oct; 1(3):541-86. PubMed ID: 15290769
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.