کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
496807 | 862871 | 2009 | 8 صفحه PDF | دانلود رایگان |
The purpose of this study is to determine the bioinformatics between breast tumors and DNA viruses. To extract significant factors for breast tumors, two methods – analysis of variance (ANOVA) and information measurement – are used; then, the results show that human papillomavirus (HPV) is not significant factor. Further, genetic algorithm (GA)-based data mining was submitted to obtain the rule between other DNA viruses and breast cancer/fibroadenoma. The GA rule shows that the effect of breast cancer includes {herpes simplex virus (HSV)-1 (−), human herpesvirus (HHV)-8 (−,+)}, {HSV-1(−)}, or {HHV-8(−)}, and that the effect of fibroadenoma includes {HSV-1(+), HHV-8(+)}, {HSV-1(+)}, or {HHV-8(+)}. Furthermore, the Mantel–Haenszel test shows that GA rules make a distinction between breast cancer and fibroadenoma. Finally, regarding diagnosis cost and accuracy, this study suggests that considering HSV-1 alone or with HHV-8 is optimal, but considering only HHV-8 yields less accurate results.
Journal: Applied Soft Computing - Volume 9, Issue 2, March 2009, Pages 703–710