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Study of miRNA Let-7 Involvement in Breast Cancer through the Light of Graph Theory and Canalizing Function

Published on May 2014 by Antara Sengupta, Camellia Ray, Pabitra Pal Choudhury
journal_cover_thumbnail

National Conference cum Workshop on Bioinformatics and Computational Biology
Foundation of Computer Science USA
NCWBCB - Number 3
May 2014
Authors: Antara Sengupta, Camellia Ray, Pabitra Pal Choudhury
7a04211f-aae0-49f1-b88c-ad51660372f5

Antara Sengupta, Camellia Ray, Pabitra Pal Choudhury . Study of miRNA Let-7 Involvement in Breast Cancer through the Light of Graph Theory and Canalizing Function. National Conference cum Workshop on Bioinformatics and Computational Biology. NCWBCB, 3 (May 2014), 26-29.

@article{
author = { Antara Sengupta, Camellia Ray, Pabitra Pal Choudhury },
title = { Study of miRNA Let-7 Involvement in Breast Cancer through the Light of Graph Theory and Canalizing Function },
journal = { National Conference cum Workshop on Bioinformatics and Computational Biology },
issue_date = { May 2014 },
volume = { NCWBCB },
number = { 3 },
month = { May },
year = { 2014 },
issn = 0975-8887,
pages = { 26-29 },
numpages = 4,
url = { /proceedings/ncwbcb/number3/16525-1427/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference cum Workshop on Bioinformatics and Computational Biology
%A Antara Sengupta
%A Camellia Ray
%A Pabitra Pal Choudhury
%T Study of miRNA Let-7 Involvement in Breast Cancer through the Light of Graph Theory and Canalizing Function
%J National Conference cum Workshop on Bioinformatics and Computational Biology
%@ 0975-8887
%V NCWBCB
%N 3
%P 26-29
%D 2014
%I International Journal of Computer Applications
Abstract

miRNAs are small, non-coding RNAs and of 21-25 nucleotide in size. They negatively regulate protein-coding mRNAs at the post-transcriptional level. miRNAs play very important roles in various biological processes like cell growth, differentiation, and development. Abnormal expressions of miRNAs can lead various diseases including cancer and therefore miRNAs are considered as strong diagnostic and therapeutic candidates for the treatment of human diseases. The let-7 "lethal-7" is a microRNA and has active participation in Breast cancer. Not only that but also let-7 affects self-renewal ability of cancer cells. So it may be novel idea to make cancer therapy by targeting let-7 in breast cancer patients. In this paper we have tried to study the Gene Regulatory Network(GRN) of Let-7 in Breast Cancer through the light of Graph theory and Canalizing function.

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Index Terms

Computer Science
Information Sciences

Keywords

Gene Regulatory Network Let-7 Mirna Hypergraph Canalizing Function Breast Cancer.