Cluster analysis of MiRNAs microarray data and prediction of lupeol's anti-cancer path

Author(s):  
Dachuan Liu ◽  
Cuihong Dai ◽  
Dechang Xu
2020 ◽  
Vol 12 (21) ◽  
pp. 9080
Author(s):  
Dawid Majcherek ◽  
Marzenna Anna Weresa ◽  
Christina Ciecierski

To date, no results have been published regarding cluster analysis of risk factors for cancer in Poland. Many cancer deaths are preventable through the modification of cancer risk behaviours. This study explores the multidisciplinary connection between lifestyle, environment and socio-economic status (SES). Cluster analyses indicate that major metropolitan areas and large industrial regions differ significantly in terms of SES, lifestyle and environment when compared with other parts of Poland. Our findings show that in order for interventions to be effective, cancer-prevention policy should be addressed on both local and national scales. While anti-cancer policies in Poland’s industrial regions should focus on air pollution, the country’s northern regions should aim to curb smoking, increase sports activity and improve SES. Policy interventions must target the root causes of cancer in each region of Poland and must account for SES.


PLoS ONE ◽  
2015 ◽  
Vol 10 (11) ◽  
pp. e0141874 ◽  
Author(s):  
Jessie J. Hsu ◽  
Dianne M. Finkelstein ◽  
David A. Schoenfeld

2013 ◽  
Vol 10 (3) ◽  
pp. 51-65
Author(s):  
José A. Castellanos-Garzón ◽  
Fernando Díaz

Summary This paper presents a case study to show the competence of our evolutionary and visual framework for cluster analysis of DNA microarray data. The proposed framework joins a genetic algorithm for hierarchical clustering with a set of visual components of cluster tasks given by a tool. The cluster visualization tool allows us to display different views of clustering results as a means of cluster visual validation. The results of the genetic algorithm for clustering have shown that it can find better solutions than the other methods for the selected data set. Thus, this shows the reliability of the proposed framework.


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