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Connection

Kun Zhang to Humans

This is a "connection" page, showing publications Kun Zhang has written about Humans.
Connection Strength

0.793
  1. Lu Y, Kwong K, Wells J, Edwards A, Chen Z, Tseng TS, Zhang K. Quitting smoking after a cancer diagnosis is associated with high-risk neutrophil-to-lymphocyte ratio among tobacco use-related cancer survivors. Sci Rep. 2023 02 16; 13(1):2745.
    View in: PubMed
    Score: 0.044
  2. Zhang W, Zhang K. A transcriptomic signature for prostate cancer relapse prediction identified from the differentially expressed genes between TP53 mutant and wild-type tumors. Sci Rep. 2022 06 22; 12(1):10561.
    View in: PubMed
    Score: 0.042
  3. Chen Z, Lu Y, Cao B, Zhang W, Edwards A, Zhang K. Driver gene detection through Bayesian network integration of mutation and expression profiles. Bioinformatics. 2022 05 13; 38(10):2781-2790.
    View in: PubMed
    Score: 0.042
  4. Zhang W, Nicholson T, Zhang K. Deciphering the Polygenic Basis of Racial Disparities in Prostate Cancer By an Integrative Analysis of Genomic and Transcriptomic Data. Cancer Prev Res (Phila). 2022 03 01; 15(3):161-171.
    View in: PubMed
    Score: 0.041
  5. Lu Y, Edwards A, Chen Z, Tseng TS, Li M, Gonzalez GV, Zhang K. Insufficient Lycopene Intake Is Associated With High Risk of Prostate Cancer: A Cross-Sectional Study From the National Health and Nutrition Examination Survey (2003-2010). Front Public Health. 2021; 9:792572.
    View in: PubMed
    Score: 0.040
  6. Chen Z, Cao B, Edwards A, Deng H, Zhang K. A deep imputation and inference framework for estimating personalized and race-specific causal effects of genomic alterations on PSA. J Bioinform Comput Biol. 2021 08; 19(4):2150016.
    View in: PubMed
    Score: 0.039
  7. Lu Y, Li M, Lee GY, Zhao N, Chen Z, Edwards A, Zhang K. Seeking the exclusive binding region of phenylalkylamine derivatives on human T-type calcium channels via homology modeling and molecular dynamics simulation approach. Pharmacol Res Perspect. 2021 05; 9(3):e00783.
    View in: PubMed
    Score: 0.039
  8. Zhang W, Dong Y, Sartor O, Zhang K. Comprehensive Analysis of Multiple Cohort Datasets Deciphers the Utility of Germline Single-Nucleotide Polymorphisms in Prostate Cancer Diagnosis. Cancer Prev Res (Phila). 2021 07; 14(7):741-752.
    View in: PubMed
    Score: 0.039
  9. Zhang W, Dong Y, Zhang K. Gene expression analysis reveals a pitfall in the molecular research of prostate tumors relevant to Gleason score. J Bioinform Comput Biol. 2020 10; 18(5):2050032.
    View in: PubMed
    Score: 0.037
  10. Zhang W, Dong Y, Sartor O, Flemington EK, Zhang K. SEER and Gene Expression Data Analysis Deciphers Racial Disparity Patterns in Prostate Cancer Mortality and the Public Health Implication. Sci Rep. 2020 04 22; 10(1):6820.
    View in: PubMed
    Score: 0.036
  11. Zhang W, Flemington EK, Deng HW, Zhang K. Epigenetically Silenced Candidate Tumor Suppressor Genes in Prostate Cancer: Identified by Modeling Methylation Stratification and Applied to Progression Prediction. Cancer Epidemiol Biomarkers Prev. 2019 01; 28(1):198-207.
    View in: PubMed
    Score: 0.032
  12. Zhang W, Flemington EK, Zhang K. Driver gene mutations based clustering of tumors: methods and applications. Bioinformatics. 2018 07 01; 34(13):i404-i411.
    View in: PubMed
    Score: 0.032
  13. Zhang W, Edwards A, Flemington EK, Zhang K. Racial disparities in patient survival and tumor mutation burden, and the association between tumor mutation burden and cancer incidence rate. Sci Rep. 2017 10 20; 7(1):13639.
    View in: PubMed
    Score: 0.030
  14. Mei S, Zhang K. Multi-label l2-regularized logistic regression for predicting activation/inhibition relationships in human protein-protein interaction networks. Sci Rep. 2016 11 07; 6:36453.
    View in: PubMed
    Score: 0.028
  15. Mei S, Zhang K. Computational discovery of Epstein-Barr virus targeted human genes and signalling pathways. Sci Rep. 2016 07 29; 6:30612.
    View in: PubMed
    Score: 0.028
  16. Zhang W, Flemington EK, Zhang K. Mutant TP53 disrupts age-related accumulation patterns of somatic mutations in multiple cancer types. Cancer Genet. 2016 09; 209(9):376-380.
    View in: PubMed
    Score: 0.028
  17. Zhang W, Edwards A, Fang Z, Flemington EK, Zhang K. Integrative Genomics and Transcriptomics Analysis Reveals Potential Mechanisms for Favorable Prognosis of Patients with HPV-Positive Head and Neck Carcinomas. Sci Rep. 2016 04 25; 6:24927.
    View in: PubMed
    Score: 0.027
  18. Zhang W, Edwards A, Fan W, Flemington EK, Zhang K. The modularity and dynamicity of miRNA-mRNA interactions in high-grade serous ovarian carcinomas and the prognostic implication. Comput Biol Chem. 2016 08; 63:3-14.
    View in: PubMed
    Score: 0.027
  19. Zhang W, Edwards A, Flemington E, Zhang K. Somatic mutations favorable to patient survival are predominant in ovarian carcinomas. PLoS One. 2014; 9(11):e112561.
    View in: PubMed
    Score: 0.025
  20. Zhang W, Edwards A, Flemington EK, Zhang K. Inferring polymorphism-induced regulatory gene networks active in human lymphocyte cell lines by weighted linear mixed model analysis of multiple RNA-Seq datasets. PLoS One. 2013; 8(10):e78868.
    View in: PubMed
    Score: 0.023
  21. Zhang W, Edwards A, Fan W, Fang Z, Deininger P, Zhang K. Inferring the expression variability of human transposable element-derived exons by linear model analysis of deep RNA sequencing data. BMC Genomics. 2013 Aug 28; 14:584.
    View in: PubMed
    Score: 0.023
  22. Zhang W, Edwards A, Fan W, Flemington EK, Zhang K. miRNA-mRNA correlation-network modules in human prostate cancer and the differences between primary and metastatic tumor subtypes. PLoS One. 2012; 7(6):e40130.
    View in: PubMed
    Score: 0.021
  23. Zhang W, Edwards A, Zhu D, Flemington EK, Deininger P, Zhang K. miRNA-mediated relationships between Cis-SNP genotypes and transcript intensities in lymphocyte cell lines. PLoS One. 2012; 7(2):e31429.
    View in: PubMed
    Score: 0.020
  24. Zhang W, Edwards A, Fan W, Deininger P, Zhang K. Alu distribution and mutation types of cancer genes. BMC Genomics. 2011 Mar 23; 12:157.
    View in: PubMed
    Score: 0.019
  25. Zhang K, Fan W, Deininger P, Edwards A, Xu Z, Zhu D. Breaking the computational barrier: a divide-conquer and aggregate based approach for Alu insertion site characterisation. Int J Comput Biol Drug Des. 2009; 2(4):302-22.
    View in: PubMed
    Score: 0.017
  26. Liu S, Zhang Q, Chen C, Ge D, Qu Y, Chen R, Fan YM, Li N, Tang WW, Zhang W, Zhang K, Wang AR, Rowan BG, Hill SM, Sartor O, Abdel-Mageed AB, Myers L, Lin Q, You Z. Hyperinsulinemia enhances interleukin-17-induced inflammation to promote prostate cancer development in obese mice through inhibiting glycogen synthase kinase 3-mediated phosphorylation and degradation of interleukin-17 receptor. Oncotarget. 2016 Mar 22; 7(12):13651-66.
    View in: PubMed
    Score: 0.007
  27. Cao S, Moss W, O'Grady T, Concha M, Strong MJ, Wang X, Yu Y, Baddoo M, Zhang K, Fewell C, Lin Z, Dong Y, Flemington EK. New Noncoding Lytic Transcripts Derived from the Epstein-Barr Virus Latency Origin of Replication, oriP, Are Hyperedited, Bind the Paraspeckle Protein, NONO/p54nrb, and Support Viral Lytic Transcription. J Virol. 2015 Jul; 89(14):7120-32.
    View in: PubMed
    Score: 0.006
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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