DocumentCode
3318897
Title
In Silico Mining of MicroRNA Signatures in Human Ovarian Cancer
Author
Sameen, Sheema ; Khalid, Zoya ; Malik, Shaukat Iqbal
Author_Institution
Dept. of Bioinf. & Biotechnol., Int. Islamic Univ. (IIU), Islamabad, Pakistan
fYear
2011
fDate
10-12 May 2011
Firstpage
1
Lastpage
4
Abstract
During last decade an extensive research had been made on the microRNA´s, their targets, their functions and their involvement in different diseases. The basic functioning of microRNA´s is cell proliferation and cell death which provided the evidence for their involvement in cancers. Researchers put all of their efforts in unraveling the truths of microRNA roles in cancer prognosis and treatment but still there is a need of further investigation. In this paper we suggested an in silico approach for finding association of microRNA´s with cancer. Our approach is more authentic in the sense that we chose those genes which are proved to be associated with ovarian cancer and then these genes were further analyzed for their targeting microRNA´s. We predicted microRNA´s that are confirm to be involved in human ovarian cancer by our method.
Keywords
cancer; cellular biophysics; data mining; macromolecules; patient treatment; MicroRNA signature; Silico mining; cancer prognosis; cancer treatment; cell death; cell proliferation; diseases; human ovarian cancer; Bioinformatics; Cancer; Diseases; Gene expression; Genomics; Humans; Libraries; claudin gene family; microRNA; ovarian cancer;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location
Wuhan
ISSN
2151-7614
Print_ISBN
978-1-4244-5088-6
Type
conf
DOI
10.1109/icbbe.2011.5780100
Filename
5780100
Link To Document