RCMI Coordinating Center (RCMI CC) Header Logo

Connection

Kun Zhang to Cluster Analysis

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

0.719
  1. 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: 0.184
  2. 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: 0.179
  3. 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: 0.158
  4. 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: 0.104
  5. 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: 0.095
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.
RCMI CC is supported by the National Institute on Minority Health and Health Disparities, National Institutes of Health (NIH), through Grant Number U24MD015970. The contents of this site are solely the responsibility of the authors and do not necessarily represent the official views of the NIH

For technical support please contact support