Connection

Co-Authors

This is a "connection" page, showing publications co-authored by JINYOUNG BYUN and IVAN GORLOV.
Connection Strength

1.251
  1. Housekeeping genes in prostate tumorigenesis. Int J Cancer. 2009 Dec 01; 125(11):2603-8.
    View in: PubMed
    Score: 0.369
  2. Cross-ancestry genome-wide meta-analysis of 61,047 cases and 947,237 controls identifies new susceptibility loci contributing to lung cancer. Nat Genet. 2022 08; 54(8):1167-1177.
    View in: PubMed
    Score: 0.222
  3. How to get the most from microarray data: advice from reverse genomics. BMC Genomics. 2014 Mar 21; 15:223.
    View in: PubMed
    Score: 0.124
  4. In silico functional profiling of individual prostate cancer tumors: many genes, few functions. Cancer Genomics Proteomics. 2012 May-Jun; 9(3):109-14.
    View in: PubMed
    Score: 0.109
  5. Beyond comparing means: the usefulness of analyzing interindividual variation in gene expression for identifying genes associated with cancer development. J Bioinform Comput Biol. 2012 Apr; 10(2):1241013.
    View in: PubMed
    Score: 0.108
  6. Prioritizing genes associated with prostate cancer development. BMC Cancer. 2010 Nov 02; 10:599.
    View in: PubMed
    Score: 0.098
  7. Lung Cancer in Ever- and Never-Smokers: Findings from Multi-Population GWAS Studies. Cancer Epidemiol Biomarkers Prev. 2024 03 01; 33(3):389-399.
    View in: PubMed
    Score: 0.062
  8. Mosaic Chromosomal Alterations Are Associated With Increased Lung Cancer Risk: Insight From the INTEGRAL-ILCCO Cohort Analysis. J Thorac Oncol. 2023 08; 18(8):1003-1016.
    View in: PubMed
    Score: 0.058
  9. Genome-wide interaction analysis identified low-frequency variants with sex disparity in lung cancer risk. Hum Mol Genet. 2022 08 23; 31(16):2831-2843.
    View in: PubMed
    Score: 0.056
  10. Genetic interaction analysis among oncogenesis-related genes revealed novel genes and networks in lung cancer development. Oncotarget. 2019 Mar 05; 10(19):1760-1774.
    View in: PubMed
    Score: 0.044
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.