Connection

MUSTAFA OZEN to Gene Expression Profiling

This is a "connection" page, showing publications MUSTAFA OZEN has written about Gene Expression Profiling.
Connection Strength

0.910
  1. MicroRNA expression profiling reveals the potential function of microRNA-31 in chordomas. J Neurooncol. 2013 Nov; 115(2):143-51.
    View in: PubMed
    Score: 0.265
  2. MicroRNA profiling in lymphocytes and serum of tyrosinemia type-I patients. Mol Biol Rep. 2013 Jul; 40(7):4619-23.
    View in: PubMed
    Score: 0.260
  3. Identification of microRNA profile specific to cancer stem-like cells directly isolated from human larynx cancer specimens. BMC Cancer. 2016 11 05; 16(1):853.
    View in: PubMed
    Score: 0.083
  4. The role of ATP-binding cassette transporter genes in the progression of prostate cancer. Prostate. 2016 Apr; 76(5):434-44.
    View in: PubMed
    Score: 0.078
  5. Global gene expression analysis of reactive stroma in prostate cancer. Clin Cancer Res. 2009 Jun 15; 15(12):3979-89.
    View in: PubMed
    Score: 0.050
  6. Genomic profiling of prostate cancers from African American men. Neoplasia. 2009 Mar; 11(3):305-12.
    View in: PubMed
    Score: 0.049
  7. Widespread deregulation of microRNA expression in human prostate cancer. Oncogene. 2008 Mar 13; 27(12):1788-93.
    View in: PubMed
    Score: 0.044
  8. Comparison of microRNA expression levels in patients with schizophrenia before and after electroconvulsive therapy. Psychiatr Genet. 2024 Aug 01; 34(4):79-85.
    View in: PubMed
    Score: 0.035
  9. Meta-analysis of miRNA expression profiles for prostate cancer recurrence following radical prostatectomy. PLoS One. 2017; 12(6):e0179543.
    View in: PubMed
    Score: 0.022
  10. Characterization of cancer stem-like cells in chordoma. J Neurosurg. 2012 Apr; 116(4):810-20.
    View in: PubMed
    Score: 0.015
  11. Enhanced survival in perineural invasion of pancreatic cancer: an in vitro approach. Hum Pathol. 2007 Feb; 38(2):299-307.
    View in: PubMed
    Score: 0.010
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.