Connection
Debashis Ghosh to Biomarkers, Tumor
This is a "connection" page, showing publications Debashis Ghosh has written about Biomarkers, Tumor.
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Connection Strength |
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2.644 |
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Seal S, Wrobel J, Johnson AM, Nemenoff RA, Schenk EL, Bitler BG, Jordan KR, Ghosh D. On clustering for cell-phenotyping in multiplex immunohistochemistry (mIHC) and multiplexed ion beam imaging (MIBI) data. BMC Res Notes. 2022 Jun 20; 15(1):215.
Score: 0.555
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Zhan X, Patterson AD, Ghosh D. Kernel approaches for differential expression analysis of mass spectrometry-based metabolomics data. BMC Bioinformatics. 2015 Mar 11; 16:77.
Score: 0.335
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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: 0.235
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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: 0.214
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Yuan Z, Ghosh D. Combining multiple biomarker models in logistic regression. Biometrics. 2008 Jun; 64(2):431-9.
Score: 0.206
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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: 0.200
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MacDonald JW, Ghosh D. COPA--cancer outlier profile analysis. Bioinformatics. 2006 Dec 01; 22(23):2950-1.
Score: 0.185
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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: 0.127
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Duex JE, Owens C, Chauca-Diaz A, Dancik GM, Vanderlinden LA, Ghosh D, Leivo MZ, Hansel DE, Theodorescu D. Nuclear CD24 Drives Tumor Growth and Is Predictive of Poor Patient Prognosis. Cancer Res. 2017 09 15; 77(18):4858-4867.
Score: 0.098
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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: 0.056
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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: 0.048
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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: 0.046
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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: 0.044
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Wang X, Yu J, Sreekumar A, Varambally S, Shen R, Giacherio D, Mehra R, Montie JE, Pienta KJ, Sanda MG, Kantoff PW, Rubin MA, Wei JT, Ghosh D, Chinnaiyan AM. Autoantibody signatures in prostate cancer. N Engl J Med. 2005 Sep 22; 353(12):1224-35.
Score: 0.043
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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: 0.043
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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: 0.042
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Sreekumar A, Laxman B, Rhodes DR, Bhagavathula S, Harwood J, Giacherio D, Ghosh D, Sanda MG, Rubin MA, Chinnaiyan AM. Humoral immune response to alpha-methylacyl-CoA racemase and prostate cancer. J Natl Cancer Inst. 2004 Jun 02; 96(11):834-43.
Score: 0.040
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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: 0.034
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Oliphant MUJ, Vincent MY, Galbraith MD, Pandey A, Zaberezhnyy V, Rudra P, Johnson KR, Costello JC, Ghosh D, DeGregori J, Espinosa JM, Ford HL. SIX2 Mediates Late-Stage Metastasis via Direct Regulation of SOX2 and Induction of a Cancer Stem Cell Program. Cancer Res. 2019 02 15; 79(4):720-734.
Score: 0.027
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Chen W, Ghosh D, Raghunathan TE, Sargent DJ. Bayesian variable selection with joint modeling of categorical and survival outcomes: an application to individualizing chemotherapy treatment in advanced colorectal cancer. Biometrics. 2009 Dec; 65(4):1030-40.
Score: 0.015
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Patwa TH, Li C, Poisson LM, Kim HY, Pal M, Ghosh D, Simeone DM, Lubman DM. The identification of phosphoglycerate kinase-1 and histone H4 autoantibodies in pancreatic cancer patient serum using a natural protein microarray. Electrophoresis. 2009 Jun; 30(12):2215-26.
Score: 0.014
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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: 0.013
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Yu J, Yu J, Rhodes DR, Tomlins SA, Cao X, Chen G, Mehra R, Wang X, Ghosh D, Shah RB, Varambally S, Pienta KJ, Chinnaiyan AM. A polycomb repression signature in metastatic prostate cancer predicts cancer outcome. Cancer Res. 2007 Nov 15; 67(22):10657-63.
Score: 0.013
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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: 0.010
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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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