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Connection

Debashis Ghosh to Neoplasms

This is a "connection" page, showing publications Debashis Ghosh has written about Neoplasms.

 
Connection Strength
 
 
 
2.014
 
  1. Seal S, Ghosh D. MIAMI: mutual information-based analysis of multiplex imaging data. Bioinformatics. 2022 08 02; 38(15):3818-3826.
    View in: PubMed
    Score: 0.330
  2. 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.
    View in: PubMed
    Score: 0.247
  3. 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: 0.139
  4. 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.
    View in: PubMed
    Score: 0.127
  5. Ghosh D, Poisson LM. "Omics" data and levels of evidence for biomarker discovery. Genomics. 2009 Jan; 93(1):13-6.
    View in: PubMed
    Score: 0.126
  6. Ghosh D, Banerjee M, Biswas P. Inference for constrained estimation of tumor size distributions. Biometrics. 2008 Dec; 64(4):1009-17.
    View in: PubMed
    Score: 0.122
  7. Ghosh D. Proportional hazards regression for cancer studies. Biometrics. 2008 Mar; 64(1):141-8.
    View in: PubMed
    Score: 0.115
  8. MacDonald JW, Ghosh D. COPA--cancer outlier profile analysis. Bioinformatics. 2006 Dec 01; 22(23):2950-1.
    View in: PubMed
    Score: 0.109
  9. Ghosh D, Chinnaiyan AM. Covariate adjustment in the analysis of microarray data from clinical studies. Funct Integr Genomics. 2005 Jan; 5(1):18-27.
    View in: PubMed
    Score: 0.096
  10. Ghosh D. Penalized discriminant methods for the classification of tumors from gene expression data. Biometrics. 2003 Dec; 59(4):992-1000.
    View in: PubMed
    Score: 0.090
  11. Smolkin M, Ghosh D. Cluster stability scores for microarray data in cancer studies. BMC Bioinformatics. 2003 Sep 06; 4:36.
    View in: PubMed
    Score: 0.089
  12. Ghosh D. Singular value decomposition regression models for classification of tumors from microarray experiments. Pac Symp Biocomput. 2002; 18-29.
    View in: PubMed
    Score: 0.079
  13. 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.
    View in: PubMed
    Score: 0.060
  14. Ghosh D. Genomic outlier detection in high-throughput data analysis. Methods Mol Biol. 2013; 972:141-53.
    View in: PubMed
    Score: 0.042
  15. 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: 0.031
  16. 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.
    View in: PubMed
    Score: 0.029
  17. 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: 0.028
  18. 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: 0.027
  19. 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.
    View in: PubMed
    Score: 0.025
  20. 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: 0.025
  21. 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.
    View in: PubMed
    Score: 0.025
  22. 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: 0.023
  23. 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: 0.023
  24. 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: 0.007
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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