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Connection

Yuan Ji to Gene Expression Profiling

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

0.977
  1. Bayesian models based on test statistics for multiple hypothesis testing problems. Bioinformatics. 2008 Apr 01; 24(7):943-9.
    View in: PubMed
    Score: 0.201
  2. RefSeq refinements of UniGene-based gene matching improve the correlation of expression measurements between two microarray platforms. Appl Bioinformatics. 2006; 5(2):89-98.
    View in: PubMed
    Score: 0.174
  3. Applications of beta-mixture models in bioinformatics. Bioinformatics. 2005 May 01; 21(9):2118-22.
    View in: PubMed
    Score: 0.163
  4. A novel means of using gene clusters in a two-step empirical Bayes method for predicting classes of samples. Bioinformatics. 2005 Apr 01; 21(7):1055-61.
    View in: PubMed
    Score: 0.160
  5. Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling. Cancer Imaging. 2019 Jul 15; 19(1):48.
    View in: PubMed
    Score: 0.111
  6. Curcumin (diferuloylmethane) alters the expression profiles of microRNAs in human pancreatic cancer cells. Mol Cancer Ther. 2008 Mar; 7(3):464-73.
    View in: PubMed
    Score: 0.050
  7. Extracting three-way gene interactions from microarray data. Bioinformatics. 2007 Nov 01; 23(21):2903-9.
    View in: PubMed
    Score: 0.049
  8. Imaging-Genomic Study of Head and Neck Squamous Cell Carcinoma: Associations Between Radiomic Phenotypes and Genomic Mechanisms via Integration of The Cancer Genome Atlas and The Cancer Imaging Archive. JCO Clin Cancer Inform. 2019 02; 3:1-9.
    View in: PubMed
    Score: 0.027
  9. Clustering distributions with the marginalized nested Dirichlet process. Biometrics. 2018 06; 74(2):584-594.
    View in: PubMed
    Score: 0.024
  10. Accuracy of RNA-Seq and its dependence on sequencing depth. BMC Bioinformatics. 2012; 13 Suppl 13:S5.
    View in: PubMed
    Score: 0.017
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.