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 *

157 related articles for article (PubMed ID: 24194884)

  • 1. CorSig: a general framework for estimating statistical significance of correlation and its application to gene co-expression analysis.
    Wang HQ; Tsai CJ
    PLoS One; 2013; 8(10):e77429. PubMed ID: 24194884
    [TBL] [Abstract][Full Text] [Related]  

  • 2. SLIM: a sliding linear model for estimating the proportion of true null hypotheses in datasets with dependence structures.
    Wang HQ; Tuominen LK; Tsai CJ
    Bioinformatics; 2011 Jan; 27(2):225-31. PubMed ID: 21098430
    [TBL] [Abstract][Full Text] [Related]  

  • 3. STARNET 2: a web-based tool for accelerating discovery of gene regulatory networks using microarray co-expression data.
    Jupiter D; Chen H; VanBuren V
    BMC Bioinformatics; 2009 Oct; 10():332. PubMed ID: 19828039
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Empirical Bayes screening of many p-values with applications to microarray studies.
    Datta S; Datta S
    Bioinformatics; 2005 May; 21(9):1987-94. PubMed ID: 15691856
    [TBL] [Abstract][Full Text] [Related]  

  • 5. ASIAN: a web server for inferring a regulatory network framework from gene expression profiles.
    Aburatani S; Goto K; Saito S; Toh H; Horimoto K
    Nucleic Acids Res; 2005 Jul; 33(Web Server issue):W659-64. PubMed ID: 15980557
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Construction of null statistics in permutation-based multiple testing for multi-factorial microarray experiments.
    Gao X
    Bioinformatics; 2006 Jun; 22(12):1486-94. PubMed ID: 16574697
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Testing significance relative to a fold-change threshold is a TREAT.
    McCarthy DJ; Smyth GK
    Bioinformatics; 2009 Mar; 25(6):765-71. PubMed ID: 19176553
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Statistical significance of variables driving systematic variation in high-dimensional data.
    Chung NC; Storey JD
    Bioinformatics; 2015 Feb; 31(4):545-54. PubMed ID: 25336500
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Degrees of differential gene expression: detecting biologically significant expression differences and estimating their magnitudes.
    Bickel DR
    Bioinformatics; 2004 Mar; 20(5):682-8. PubMed ID: 15033875
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A web-based tool for principal component and significance analysis of microarray data.
    Sharov AA; Dudekula DB; Ko MS
    Bioinformatics; 2005 May; 21(10):2548-9. PubMed ID: 15734774
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Improving the statistical detection of regulated genes from microarray data using intensity-based variance estimation.
    Comander J; Natarajan S; Gimbrone MA; García-Cardeña G
    BMC Genomics; 2004 Feb; 5(1):17. PubMed ID: 15113402
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 3Omics: a web-based systems biology tool for analysis, integration and visualization of human transcriptomic, proteomic and metabolomic data.
    Kuo TC; Tian TF; Tseng YJ
    BMC Syst Biol; 2013 Jul; 7():64. PubMed ID: 23875761
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The Global Error Assessment (GEA) model for the selection of differentially expressed genes in microarray data.
    Mansourian R; Mutch DM; Antille N; Aubert J; Fogel P; Le Goff JM; Moulin J; Petrov A; Rytz A; Voegel JJ; Roberts MA
    Bioinformatics; 2004 Nov; 20(16):2726-37. PubMed ID: 15145801
    [TBL] [Abstract][Full Text] [Related]  

  • 14. High throughput screening of co-expressed gene pairs with controlled false discovery rate (FDR) and minimum acceptable strength (MAS).
    Zhu D; Hero AO; Qin ZS; Swaroop A
    J Comput Biol; 2005 Sep; 12(7):1029-45. PubMed ID: 16201920
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multidimensional local false discovery rate for microarray studies.
    Ploner A; Calza S; Gusnanto A; Pawitan Y
    Bioinformatics; 2006 Mar; 22(5):556-65. PubMed ID: 16368770
    [TBL] [Abstract][Full Text] [Related]  

  • 16. POST: A framework for set-based association analysis in high-dimensional data.
    Cao X; George EO; Wang M; Armstrong DB; Cheng C; Raimondi S; Rubnitz JE; Downing JR; Kundu M; Pounds SB
    Methods; 2018 Aug; 145():76-81. PubMed ID: 29777750
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A computationally efficient modular optimal discovery procedure.
    Woo S; Leek JT; Storey JD
    Bioinformatics; 2011 Feb; 27(4):509-15. PubMed ID: 21186247
    [TBL] [Abstract][Full Text] [Related]  

  • 18. FDR made easy in differential feature discovery and correlation analyses.
    Ling XB; Cohen H; Jin J; Lau I; Schilling J
    Bioinformatics; 2009 Jun; 25(11):1461-2. PubMed ID: 19376824
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A visual data mining tool that facilitates reconstruction of transcription regulatory networks.
    Jupiter DC; VanBuren V
    PLoS One; 2008 Mar; 3(3):e1717. PubMed ID: 18320038
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data.
    Jain N; Cho H; O'Connell M; Lee JK
    BMC Bioinformatics; 2005 Jul; 6():187. PubMed ID: 16042779
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.