 Connection
Debashis Ghosh to Gene Expression Profiling
This is a "connection" page, showing publications Debashis Ghosh has written about Gene Expression Profiling.
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Connection Strength |
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4.743 |
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Seal S, Bitler BG, Ghosh D. SMASH: Scalable Method for Analyzing Spatial Heterogeneity of genes in spatial transcriptomics data. PLoS Genet. 2023 Oct; 19(10):e1010983.
Score: 0.533
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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.
Score: 0.276
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Ghosh D. Genomic outlier detection in high-throughput data analysis. Methods Mol Biol. 2013; 972:141-53.
Score: 0.252
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Poisson LM, Sreekumar A, Chinnaiyan AM, Ghosh D. Pathway-directed weighted testing procedures for the integrative analysis of gene expression and metabolomic data. Genomics. 2012 May; 99(5):265-74.
Score: 0.240
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Li Y, Ghosh D. Assumption weighting for incorporating heterogeneity into meta-analysis of genomic data. Bioinformatics. 2012 Mar 15; 28(6):807-14.
Score: 0.237
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Ghosh D. Discrete nonparametric algorithms for outlier detection with genomic data. J Biopharm Stat. 2010 Mar; 20(2):193-208.
Score: 0.207
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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.
Score: 0.206
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Ghosh D, Chinnaiyan AM. Genomic outlier profile analysis: mixture models, null hypotheses, and nonparametric estimation. Biostatistics. 2009 Jan; 10(1):60-9.
Score: 0.184
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Yuan Z, Ghosh D. Combining multiple biomarker models in logistic regression. Biometrics. 2008 Jun; 64(2):431-9.
Score: 0.181
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Liu D, Lin X, Ghosh D. Semiparametric regression of multidimensional genetic pathway data: least-squares kernel machines and linear mixed models. Biometrics. 2007 Dec; 63(4):1079-88.
Score: 0.177
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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.
Score: 0.175
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Ghosh D. Shrunken p-values for assessing differential expression with applications to genomic data analysis. Biometrics. 2006 Dec; 62(4):1099-106.
Score: 0.166
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MacDonald JW, Ghosh D. COPA--cancer outlier profile analysis. Bioinformatics. 2006 Dec 01; 22(23):2950-1.
Score: 0.162
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Ghosh D, Chinnaiyan AM. Covariate adjustment in the analysis of microarray data from clinical studies. Funct Integr Genomics. 2005 Jan; 5(1):18-27.
Score: 0.142
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Ghosh D. Mixture models for assessing differential expression in complex tissues using microarray data. Bioinformatics. 2004 Jul 22; 20(11):1663-9.
Score: 0.137
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Smolkin M, Ghosh D. Cluster stability scores for microarray data in cancer studies. BMC Bioinformatics. 2003 Sep 06; 4:36.
Score: 0.132
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Ghosh D. Resampling methods for variance estimation of singular value decomposition analyses from microarray experiments. Funct Integr Genomics. 2002 Aug; 2(3):92-7.
Score: 0.119
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Ghosh D, Chinnaiyan AM. Mixture modelling of gene expression data from microarray experiments. Bioinformatics. 2002 Feb; 18(2):275-86.
Score: 0.118
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Rao S, Ghosh D, Asturias EJ, Weinberg A. What can we learn about influenza infection and vaccination from transcriptomics? Hum Vaccin Immunother. 2019; 15(11):2615-2623.
Score: 0.098
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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.
Score: 0.059
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Poisson LM, Taylor JM, Ghosh D. Integrative set enrichment testing for multiple omics platforms. BMC Bioinformatics. 2011 Nov 25; 12:459.
Score: 0.058
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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.
Score: 0.057
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Gudjonsson JE, Ding J, Li X, Nair RP, Tejasvi T, Qin ZS, Ghosh D, Aphale A, Gumucio DL, Voorhees JJ, Abecasis GR, Elder JT. Global gene expression analysis reveals evidence for decreased lipid biosynthesis and increased innate immunity in uninvolved psoriatic skin. J Invest Dermatol. 2009 Dec; 129(12):2795-804.
Score: 0.049
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Brinkmeier ML, Davis SW, Carninci P, MacDonald JW, Kawai J, Ghosh D, Hayashizaki Y, Lyons RH, Camper SA. Discovery of transcriptional regulators and signaling pathways in the developing pituitary gland by bioinformatic and genomic approaches. Genomics. 2009 May; 93(5):449-60.
Score: 0.048
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Liu D, Ghosh D, Lin X. Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via logistic mixed models. BMC Bioinformatics. 2008 Jun 24; 9:292.
Score: 0.046
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Yu J, Yu J, Cordero KE, Johnson MD, Ghosh D, Rae JM, Chinnaiyan AM, Lippman ME. A transcriptional fingerprint of estrogen in human breast cancer predicts patient survival. Neoplasia. 2008 Jan; 10(1):79-88.
Score: 0.045
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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.
Score: 0.042
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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.
Score: 0.042
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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.
Score: 0.041
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Rhodes DR, Tomlins SA, Varambally S, Mahavisno V, Barrette T, Kalyana-Sundaram S, Ghosh D, Pandey A, Chinnaiyan AM. Probabilistic model of the human protein-protein interaction network. Nat Biotechnol. 2005 Aug; 23(8):951-9.
Score: 0.038
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Witkiewicz AK, Varambally S, Shen R, Mehra R, Sabel MS, Ghosh D, Chinnaiyan AM, Rubin MA, Kleer CG. Alpha-methylacyl-CoA racemase protein expression is associated with the degree of differentiation in breast cancer using quantitative image analysis. Cancer Epidemiol Biomarkers Prev. 2005 Jun; 14(6):1418-23.
Score: 0.037
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Rubin MA, Bismar TA, Andr?n O, Mucci L, Kim R, Shen R, Ghosh D, Wei JT, Chinnaiyan AM, Adami HO, Kantoff PW, Johansson JE. Decreased alpha-methylacyl CoA racemase expression in localized prostate cancer is associated with an increased rate of biochemical recurrence and cancer-specific death. Cancer Epidemiol Biomarkers Prev. 2005 Jun; 14(6):1424-32.
Score: 0.037
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Levin AM, Ghosh D, Cho KR, Kardia SL. A model-based scan statistic for identifying extreme chromosomal regions of gene expression in human tumors. Bioinformatics. 2005 Jun 15; 21(12):2867-74.
Score: 0.037
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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.
Score: 0.036
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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.
Score: 0.034
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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.
Score: 0.033
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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.
Score: 0.030
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Ghosh D. Singular value decomposition regression models for classification of tumors from microarray experiments. Pac Symp Biocomput. 2002; 18-29.
Score: 0.029
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Sottnik JL, Vanderlinden L, Joshi M, Chauca-Diaz A, Owens C, Hansel DE, Sempeck C, Ghosh D, Theodorescu D. Androgen Receptor Regulates CD44 Expression in Bladder Cancer. Cancer Res. 2021 06 01; 81(11):2833-2846.
Score: 0.028
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Lee Y, Ghosh D, Zhang Y. Regression hidden Markov modeling reveals heterogeneous gene expression regulation: a case study in mouse embryonic stem cells. BMC Genomics. 2014 May 12; 15:360.
Score: 0.017
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Chang ST, Tchitchek N, Ghosh D, Benecke A, Katze MG. A chemokine gene expression signature derived from meta-analysis predicts the pathogenicity of viral respiratory infections. BMC Syst Biol. 2011 Dec 22; 5:202.
Score: 0.015
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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.
Score: 0.014
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Davis SW, Potok MA, Brinkmeier ML, Carninci P, Lyons RH, MacDonald JW, Fleming MT, Mortensen AH, Egashira N, Ghosh D, Steel KP, Osamura RY, Hayashizaki Y, Camper SA. Genetics, gene expression and bioinformatics of the pituitary gland. Horm Res. 2009 Apr; 71 Suppl 2:101-15.
Score: 0.012
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Varambally S, Laxman B, Mehra R, Cao Q, Dhanasekaran SM, Tomlins SA, Granger J, Vellaichamy A, Sreekumar A, Yu J, Gu W, Shen R, Ghosh D, Wright LM, Kladney RD, Kuefer R, Rubin MA, Fimmel CJ, Chinnaiyan AM. Golgi protein GOLM1 is a tissue and urine biomarker of prostate cancer. Neoplasia. 2008 Nov; 10(11):1285-94.
Score: 0.012
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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.
Score: 0.011
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Kim JH, Dhanasekaran SM, Mehra R, Tomlins SA, Gu W, Yu J, Kumar-Sinha C, Cao X, Dash A, Wang L, Ghosh D, Shedden K, Montie JE, Rubin MA, Pienta KJ, Shah RB, Chinnaiyan AM. Integrative analysis of genomic aberrations associated with prostate cancer progression. Cancer Res. 2007 Sep 01; 67(17):8229-39.
Score: 0.011
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Rhodes DR, Kalyana-Sundaram S, Tomlins SA, Mahavisno V, Kasper N, Varambally R, Barrette TR, Ghosh D, Varambally S, Chinnaiyan AM. Molecular concepts analysis links tumors, pathways, mechanisms, and drugs. Neoplasia. 2007 May; 9(5):443-54.
Score: 0.011
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Mehra R, Varambally S, Ding L, Shen R, Sabel MS, Ghosh D, Chinnaiyan AM, Kleer CG. Identification of GATA3 as a breast cancer prognostic marker by global gene expression meta-analysis. Cancer Res. 2005 Dec 15; 65(24):11259-64.
Score: 0.010
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Varambally S, Yu J, Laxman B, Rhodes DR, Mehra R, Tomlins SA, Shah RB, Chandran U, Monzon FA, Becich MJ, Wei JT, Pienta KJ, Ghosh D, Rubin MA, Chinnaiyan AM. Integrative genomic and proteomic analysis of prostate cancer reveals signatures of metastatic progression. Cancer Cell. 2005 Nov; 8(5):393-406.
Score: 0.010
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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.
Score: 0.009
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Shah RB, Mehra R, Chinnaiyan AM, Shen R, Ghosh D, Zhou M, Macvicar GR, Varambally S, Harwood J, Bismar TA, Kim R, Rubin MA, Pienta KJ. Androgen-independent prostate cancer is a heterogeneous group of diseases: lessons from a rapid autopsy program. Cancer Res. 2004 Dec 15; 64(24):9209-16.
Score: 0.009
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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.
Score: 0.009
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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.
Score: 0.009
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Varambally S, Dhanasekaran SM, Zhou M, Barrette TR, Kumar-Sinha C, Sanda MG, Ghosh D, Pienta KJ, Sewalt RG, Otte AP, Rubin MA, Chinnaiyan AM. The polycomb group protein EZH2 is involved in progression of prostate cancer. Nature. 2002 Oct 10; 419(6907):624-9.
Score: 0.008
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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.
Score: 0.008
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Connection Strength
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