 Connection
Debashis Ghosh to Neoplasms
This is a "connection" page, showing publications Debashis Ghosh has written about Neoplasms.
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Connection Strength |
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1.819 |
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Seal S, Ghosh D. MIAMI: mutual information-based analysis of multiplex imaging data. Bioinformatics. 2022 08 02; 38(15):3818-3826.
Score: 0.285
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Russell P, Fountain K, Wolverton D, Ghosh D. TCIApathfinder: An R Client for the Cancer Imaging Archive REST API. Cancer Res. 2018 08 01; 78(15):4424-4426.
Score: 0.213
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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: 0.120
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Shen R, Taylor JM, Ghosh D. Reconstructing tumor-wise protein expression in tissue microarray studies using a Bayesian cell mixture model. Bioinformatics. 2008 Dec 15; 24(24):2880-6.
Score: 0.109
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Ghosh D, Poisson LM. "Omics" data and levels of evidence for biomarker discovery. Genomics. 2009 Jan; 93(1):13-6.
Score: 0.109
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Ghosh D, Banerjee M, Biswas P. Inference for constrained estimation of tumor size distributions. Biometrics. 2008 Dec; 64(4):1009-17.
Score: 0.105
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Ghosh D. Proportional hazards regression for cancer studies. Biometrics. 2008 Mar; 64(1):141-8.
Score: 0.100
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MacDonald JW, Ghosh D. COPA--cancer outlier profile analysis. Bioinformatics. 2006 Dec 01; 22(23):2950-1.
Score: 0.094
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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: 0.082
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McKenzie LM, Allshouse WB, Cockburn M, Ghosh D. Feasibility and limitations of using commercial databases to evaluate residential mobility in registry-based research on childhood cancer. Cancer Epidemiol. 2024 Jun; 90:102561.
Score: 0.080
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Ghosh D. Penalized discriminant methods for the classification of tumors from gene expression data. Biometrics. 2003 Dec; 59(4):992-1000.
Score: 0.078
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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: 0.077
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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: 0.068
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Zhu B, Song N, Shen R, Arora A, Machiela MJ, Song L, Landi MT, Ghosh D, Chatterjee N, Baladandayuthapani V, Zhao H. Integrating Clinical and Multiple Omics Data for Prognostic Assessment across Human Cancers. Sci Rep. 2017 12 05; 7(1):16954.
Score: 0.052
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Ghosh D. Genomic outlier detection in high-throughput data analysis. Methods Mol Biol. 2013; 972:141-53.
Score: 0.037
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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: 0.027
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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: 0.025
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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: 0.025
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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: 0.024
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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: 0.022
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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.
Score: 0.022
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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: 0.021
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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: 0.020
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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: 0.020
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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: 0.006
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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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