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Connection

Debashis Ghosh to Oligonucleotide Array Sequence Analysis

This is a "connection" page, showing publications Debashis Ghosh has written about Oligonucleotide Array Sequence Analysis.

 
Connection Strength
 
 
 
3.422
 
  1. Ghosh D. Discrete nonparametric algorithms for outlier detection with genomic data. J Biopharm Stat. 2010 Mar; 20(2):193-208.
    View in: PubMed
    Score: 0.312
  2. Choi H, Shen R, Chinnaiyan AM, Ghosh D. A latent variable approach for meta-analysis of gene expression data from multiple microarray experiments. BMC Bioinformatics. 2007 Sep 27; 8:364.
    View in: PubMed
    Score: 0.264
  3. Ghosh D, Chinnaiyan AM. Empirical Bayes identification [correction of identication] of tumor progression genes from microarray data. Biom J. 2007 Feb; 49(1):68-77.
    View in: PubMed
    Score: 0.252
  4. MacDonald JW, Ghosh D. COPA--cancer outlier profile analysis. Bioinformatics. 2006 Dec 01; 22(23):2950-1.
    View in: PubMed
    Score: 0.244
  5. Ghosh D. Mixture models for assessing differential expression in complex tissues using microarray data. Bioinformatics. 2004 Jul 22; 20(11):1663-9.
    View in: PubMed
    Score: 0.206
  6. Smolkin M, Ghosh D. Cluster stability scores for microarray data in cancer studies. BMC Bioinformatics. 2003 Sep 06; 4:36.
    View in: PubMed
    Score: 0.199
  7. Ghosh D, Barette TR, Rhodes D, Chinnaiyan AM. Statistical issues and methods for meta-analysis of microarray data: a case study in prostate cancer. Funct Integr Genomics. 2003 Dec; 3(4):180-8.
    View in: PubMed
    Score: 0.197
  8. Ghosh D. Singular value decomposition regression models for classification of tumors from microarray experiments. Pac Symp Biocomput. 2002; 18-29.
    View in: PubMed
    Score: 0.177
  9. Li Y, Ghosh D. A two-step hierarchical hypothesis set testing framework, with applications to gene expression data on ordered categories. BMC Bioinformatics. 2014 Apr 14; 15:108.
    View in: PubMed
    Score: 0.104
  10. Ghosh D. Genomic outlier detection in high-throughput data analysis. Methods Mol Biol. 2013; 972:141-53.
    View in: PubMed
    Score: 0.095
  11. Ghosh D. Incorporating the empirical null hypothesis into the Benjamini-Hochberg procedure. Stat Appl Genet Mol Biol. 2012 Jul 26; 11(4).
    View in: PubMed
    Score: 0.092
  12. Li Y, Ghosh D. Assumption weighting for incorporating heterogeneity into meta-analysis of genomic data. Bioinformatics. 2012 Mar 15; 28(6):807-14.
    View in: PubMed
    Score: 0.089
  13. Tseng GC, Ghosh D, Feingold E. Comprehensive literature review and statistical considerations for microarray meta-analysis. Nucleic Acids Res. 2012 May; 40(9):3785-99.
    View in: PubMed
    Score: 0.089
  14. Poisson LM, Taylor JM, Ghosh D. Integrative set enrichment testing for multiple omics platforms. BMC Bioinformatics. 2011 Nov 25; 12:459.
    View in: PubMed
    Score: 0.088
  15. Choi H, Qin ZS, Ghosh D. A double-layered mixture model for the joint analysis of DNA copy number and gene expression data. J Comput Biol. 2010 Feb; 17(2):121-37.
    View in: PubMed
    Score: 0.078
  16. Choi H, Nesvizhskii AI, Ghosh D, Qin ZS. Hierarchical hidden Markov model with application to joint analysis of ChIP-chip and ChIP-seq data. Bioinformatics. 2009 Jul 15; 25(14):1715-21.
    View in: PubMed
    Score: 0.074
  17. Ghosh D, Chinnaiyan AM. Genomic outlier profile analysis: mixture models, null hypotheses, and nonparametric estimation. Biostatistics. 2009 Jan; 10(1):60-9.
    View in: PubMed
    Score: 0.069
  18. Shen R, Ghosh D, Taylor JM. Modeling intra-tumor protein expression heterogeneity in tissue microarray experiments. Stat Med. 2008 May 20; 27(11):1944-59.
    View in: PubMed
    Score: 0.069
  19. Yu J, Yu J, Almal AA, Dhanasekaran SM, Ghosh D, Worzel WP, Chinnaiyan AM. Feature selection and molecular classification of cancer using genetic programming. Neoplasia. 2007 Apr; 9(4):292-303.
    View in: PubMed
    Score: 0.064
  20. Rhodes DR, Kalyana-Sundaram S, Mahavisno V, Varambally R, Yu J, Briggs BB, Barrette TR, Anstet MJ, Kincead-Beal C, Kulkarni P, Varambally S, Ghosh D, Chinnaiyan AM. Oncomine 3.0: genes, pathways, and networks in a collection of 18,000 cancer gene expression profiles. Neoplasia. 2007 Feb; 9(2):166-80.
    View in: PubMed
    Score: 0.063
  21. Ghosh D. Shrunken p-values for assessing differential expression with applications to genomic data analysis. Biometrics. 2006 Dec; 62(4):1099-106.
    View in: PubMed
    Score: 0.062
  22. Shen R, Ghosh D, Chinnaiyan A, Meng Z. Eigengene-based linear discriminant model for tumor classification using gene expression microarray data. Bioinformatics. 2006 Nov 01; 22(21):2635-42.
    View in: PubMed
    Score: 0.061
  23. Shedden K, Chen W, Kuick R, Ghosh D, Macdonald J, Cho KR, Giordano TJ, Gruber SB, Fearon ER, Taylor JM, Hanash S. Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data. BMC Bioinformatics. 2005 Feb 10; 6:26.
    View in: PubMed
    Score: 0.055
  24. Shen R, Ghosh D, Chinnaiyan AM. Prognostic meta-signature of breast cancer developed by two-stage mixture modeling of microarray data. BMC Genomics. 2004 Dec 14; 5(1):94.
    View in: PubMed
    Score: 0.054
  25. Ghosh D. Nonparametric methods for analyzing replication origins in genomewide data. Funct Integr Genomics. 2005 Jan; 5(1):28-31.
    View in: PubMed
    Score: 0.053
  26. Rhodes DR, Yu J, Shanker K, Deshpande N, Varambally R, Ghosh D, Barrette T, Pandey A, Chinnaiyan AM. Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression. Proc Natl Acad Sci U S A. 2004 Jun 22; 101(25):9309-14.
    View in: PubMed
    Score: 0.052
  27. Zhang L, Srinivasan U, Marrs CF, Ghosh D, Gilsdorf JR, Foxman B. Library on a slide for bacterial comparative genomics. BMC Microbiol. 2004 Mar 22; 4:12.
    View in: PubMed
    Score: 0.052
  28. Rhodes DR, Yu J, Shanker K, Deshpande N, Varambally R, Ghosh D, Barrette T, Pandey A, Chinnaiyan AM. ONCOMINE: a cancer microarray database and integrated data-mining platform. Neoplasia. 2004 Jan-Feb; 6(1):1-6.
    View in: PubMed
    Score: 0.051
  29. Rubin MA, Zhou M, Dhanasekaran SM, Varambally S, Barrette TR, Sanda MG, Pienta KJ, Ghosh D, Chinnaiyan AM. alpha-Methylacyl coenzyme A racemase as a tissue biomarker for prostate cancer. JAMA. 2002 Apr 03; 287(13):1662-70.
    View in: PubMed
    Score: 0.045
  30. Broadaway KA, Cutler DJ, Duncan R, Moore JL, Ware EB, Jhun MA, Bielak LF, Zhao W, Smith JA, Peyser PA, Kardia SLR, Ghosh D, Epstein MP. A Statistical Approach for Testing Cross-Phenotype Effects of Rare Variants. Am J Hum Genet. 2016 Mar 03; 98(3):525-540.
    View in: PubMed
    Score: 0.030
  31. Mortensen AH, MacDonald JW, Ghosh D, Camper SA. Candidate genes for panhypopituitarism identified by gene expression profiling. Physiol Genomics. 2011 Oct 06; 43(19):1105-16.
    View in: PubMed
    Score: 0.022
  32. Chen F, Ding X, Ding Y, Xiang Z, Li X, Ghosh D, Schurig GG, Sriranganathan N, Boyle SM, He Y. Proinflammatory caspase-2-mediated macrophage cell death induced by a rough attenuated Brucella suis strain. Infect Immun. 2011 Jun; 79(6):2460-9.
    View in: PubMed
    Score: 0.021
  33. Rhodes DR, Kalyana-Sundaram S, Mahavisno V, Barrette TR, Ghosh D, Chinnaiyan AM. Mining for regulatory programs in the cancer transcriptome. Nat Genet. 2005 Jun; 37(6):579-83.
    View in: PubMed
    Score: 0.014
  34. Yu J, He S, Friedman JS, Akimoto M, Ghosh D, Mears AJ, Hicks D, Swaroop A. Altered expression of genes of the Bmp/Smad and Wnt/calcium signaling pathways in the cone-only Nrl-/- mouse retina, revealed by gene profiling using custom cDNA microarrays. J Biol Chem. 2004 Oct 01; 279(40):42211-20.
    View in: PubMed
    Score: 0.013
  35. Rhodes DR, Barrette TR, Rubin MA, Ghosh D, Chinnaiyan AM. Meta-analysis of microarrays: interstudy validation of gene expression profiles reveals pathway dysregulation in prostate cancer. Cancer Res. 2002 Aug 01; 62(15):4427-33.
    View in: PubMed
    Score: 0.012
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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