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Connection

Debashis Ghosh to Disease Progression

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

 
Connection Strength
 
 
 
0.428
 
  1. Simon OB, Rojas DC, Ghosh D, Yang X, Rogers SE, Martin CS, Holden SK, Kluger BM, Buard I. Profiling Parkinson's disease cognitive phenotypes via resting-state magnetoencephalography. J Neurophysiol. 2022 01 01; 127(1):279-289.
    View in: PubMed
    Score: 0.120
  2. Sreekumar A, Poisson LM, Rajendiran TM, Khan AP, Cao Q, Yu J, Laxman B, Mehra R, Lonigro RJ, Li Y, Nyati MK, Ahsan A, Kalyana-Sundaram S, Han B, Cao X, Byun J, Omenn GS, Ghosh D, Pennathur S, Alexander DC, Berger A, Shuster JR, Wei JT, Varambally S, Beecher C, Chinnaiyan AM. Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression. Nature. 2009 Feb 12; 457(7231):910-4.
    View in: PubMed
    Score: 0.049
  3. Ghosh D, Poisson LM. "Omics" data and levels of evidence for biomarker discovery. Genomics. 2009 Jan; 93(1):13-6.
    View in: PubMed
    Score: 0.048
  4. 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: 0.046
  5. 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: 0.043
  6. Ghosh D. Modelling tumour biology-progression relationships in screening trials. Stat Med. 2006 Jun 15; 25(11):1872-84.
    View in: PubMed
    Score: 0.041
  7. Taylor BS, Pal M, Yu J, Laxman B, Kalyana-Sundaram S, Zhao R, Menon A, Wei JT, Nesvizhskii AI, Ghosh D, Omenn GS, Lubman DM, Chinnaiyan AM, Sreekumar A. Humoral response profiling reveals pathways to prostate cancer progression. Mol Cell Proteomics. 2008 Mar; 7(3):600-11.
    View in: PubMed
    Score: 0.011
  8. 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.
    View in: PubMed
    Score: 0.011
  9. 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.
    View in: PubMed
    Score: 0.011
  10. Shah RB, Ghosh D, Elder JT. Epidermal growth factor receptor (ErbB1) expression in prostate cancer progression: correlation with androgen independence. Prostate. 2006 Sep 15; 66(13):1437-44.
    View in: PubMed
    Score: 0.010
  11. 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.
    View in: PubMed
    Score: 0.010
  12. 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.
    View in: PubMed
    Score: 0.010
  13. 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: 0.009
  14. Wu JH, Haan MN, Liang J, Ghosh D, Gonzalez HM, Herman WH. Diabetes as a predictor of change in functional status among older Mexican Americans: a population-based cohort study. Diabetes Care. 2003 Feb; 26(2):314-9.
    View in: PubMed
    Score: 0.008
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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