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 *

160 related articles for article (PubMed ID: 24522610)

  • 1. Importance of collection in gene set enrichment analysis of drug response in cancer cell lines.
    Bateman AR; El-Hachem N; Beck AH; Aerts HJ; Haibe-Kains B
    Sci Rep; 2014 Feb; 4():4092. PubMed ID: 24522610
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Concordant integrative gene set enrichment analysis of multiple large-scale two-sample expression data sets.
    Lai Y; Zhang F; Nayak TK; Modarres R; Lee NH; McCaffrey TA
    BMC Genomics; 2014; 15 Suppl 1(Suppl 1):S6. PubMed ID: 24564564
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparative study of gene set enrichment methods.
    Abatangelo L; Maglietta R; Distaso A; D'Addabbo A; Creanza TM; Mukherjee S; Ancona N
    BMC Bioinformatics; 2009 Sep; 10():275. PubMed ID: 19725948
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Assessment of Gene Set Enrichment Analysis using curated RNA-seq-based benchmarks.
    Candia J; Ferrucci L
    PLoS One; 2024; 19(5):e0302696. PubMed ID: 38753612
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Avoiding the pitfalls of gene set enrichment analysis with SetRank.
    Simillion C; Liechti R; Lischer HE; Ioannidis V; Bruggmann R
    BMC Bioinformatics; 2017 Mar; 18(1):151. PubMed ID: 28259142
    [TBL] [Abstract][Full Text] [Related]  

  • 7. BubbleGUM: automatic extraction of phenotype molecular signatures and comprehensive visualization of multiple Gene Set Enrichment Analyses.
    Spinelli L; Carpentier S; Montañana Sanchis F; Dalod M; Vu Manh TP
    BMC Genomics; 2015 Oct; 16():814. PubMed ID: 26481321
    [TBL] [Abstract][Full Text] [Related]  

  • 8. GSEAplot: A Package for Customizing Gene Set Enrichment Analysis in R.
    Innis SE; Reinaltt K; Civelek M; Anderson WD
    J Comput Biol; 2021 Jun; 28(6):629-631. PubMed ID: 33861629
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Integrating constitutive gene expression and chemoactivity: mining the NCI60 anticancer screen.
    Covell DG
    PLoS One; 2012; 7(10):e44631. PubMed ID: 23056181
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Improving Gene-Set Enrichment Analysis of RNA-Seq Data with Small Replicates.
    Yoon S; Kim SY; Nam D
    PLoS One; 2016; 11(11):e0165919. PubMed ID: 27829002
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Transcriptomic data from two primary cell models stimulating human monocytes suggest inhibition of oxidative phosphorylation and mitochondrial function by N. meningitidis which is partially up-regulated by IL-10.
    Gopinathan U; Øvstebø R; Brusletto BS; Olstad OK; Kierulf P; Brandtzaeg P; Berg JP
    BMC Immunol; 2017 Oct; 18(1):46. PubMed ID: 29078758
    [TBL] [Abstract][Full Text] [Related]  

  • 13. GSEA-InContext: identifying novel and common patterns in expression experiments.
    Powers RK; Goodspeed A; Pielke-Lombardo H; Tan AC; Costello JC
    Bioinformatics; 2018 Jul; 34(13):i555-i564. PubMed ID: 29950010
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integrative transcriptional analysis between human and mouse cancer cells provides a common set of transformation associated genes.
    Balestrieri C; Vanoni M; Hautaniemi S; Alberghina L; Chiaradonna F
    Biotechnol Adv; 2012; 30(1):16-29. PubMed ID: 21736933
    [TBL] [Abstract][Full Text] [Related]  

  • 15. paraGSEA: a scalable approach for large-scale gene expression profiling.
    Peng S; Yang S; Bo X; Li F
    Nucleic Acids Res; 2017 Sep; 45(17):e155. PubMed ID: 28973463
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Modular within and between score for drug response prediction in cancer cell lines.
    Wang S; Li J
    Mol Omics; 2020 Feb; 16(1):31-38. PubMed ID: 31802092
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Data Mining Approaches for Genomic Biomarker Development: Applications Using Drug Screening Data from the Cancer Genome Project and the Cancer Cell Line Encyclopedia.
    Covell DG
    PLoS One; 2015; 10(7):e0127433. PubMed ID: 26132924
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Gene set enrichment analysis made simple.
    Irizarry RA; Wang C; Zhou Y; Speed TP
    Stat Methods Med Res; 2009 Dec; 18(6):565-75. PubMed ID: 20048385
    [TBL] [Abstract][Full Text] [Related]  

  • 19. PAGE: parametric analysis of gene set enrichment.
    Kim SY; Volsky DJ
    BMC Bioinformatics; 2005 Jun; 6():144. PubMed ID: 15941488
    [TBL] [Abstract][Full Text] [Related]  

  • 20. DSigDB: drug signatures database for gene set analysis.
    Yoo M; Shin J; Kim J; Ryall KA; Lee K; Lee S; Jeon M; Kang J; Tan AC
    Bioinformatics; 2015 Sep; 31(18):3069-71. PubMed ID: 25990557
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.