IJPR  articles are Indexed in SCOPUS (2010 - 2021)Click Here     *Five Years Citation in Google scholar (2016 - 2020) is. 1451*        Now IJPR is Q2 in SJR Ranking     Scopus Coverage of IJPR (2010-2021 Issue 1)          Journal is Currently Not Indexed in Scopus as on february 2021 list provided by scopus

logo

INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH

A Step Towards Excellence
Published by : Advanced Scientific Research
ISSN
0975-2366
Current Issue
No Data found.
Article In Press
No Data found.
ADOBE READER

(Require Adobe Acrobat Reader to open, If you don't have Adobe Acrobat Reader)

Index Page 1
Click here to Download
IJPR 9[3] July - September 2017 Special Issue

July - September 9[3] 2017

Click to download
 

Article Detail

Label
Label
Predication and Classification of Cancer Using Sequence Alignment and Back Propagation Algorithms in Brca1 and Brca2 Genes

Author: ALI ABDUL, BAN NADEEM DHANNOON
Abstract: Cancer is one of the most common and widespread diseases around the world. It is also one of the most dangerous diseases because millions of people die every year because of the disease. Breast cancer is one of the most common and hazardous types of cancer around the world. One in eight women is susceptible to breast cancer at some point in their lives, and it is also the second cancer causing death that comes after lung cancer. Genetic mutation increases the risk of cancer. The two main genes related to breast cancer are known as Breast Cancer1 and Breast Cancer2 (BRCA1 and BRCA2). One of the major problems is to classify the normal genes and the invalid genes which are infected by some kind of diseases. So, it is important to identify those genes and classify them. This paper for prediction and classification cancer genes mutations use two stages; first whether the affected person (patient) has mutations or not by used sequence alignment for two DNA sequences in BRCA1 and BRCA2 genes (mutant and nonmutant sequences), the second stage classify these mutations that causes the disease by used BPNN algorithm to training and testing with 5-fold cross validation. The performance of the proposed system for classification mutations in BRCA1 and BRCA2 genes using back-propagation neural network show that the average rate of Accuracy, Sensitivity and Specificity for BRCA1 and BRCA2 are 99.81 - 100 - 99.85 and 98.15 - 100 - 98.68 respectively..
Keyword: Classification; Bioinformatics; Sequence Alignment; Back Propagation Neural Network; Brca1 and Brca2 genes; Breast Cancer.
DOI: https://doi.org/10.31838/ijpr/2019.11.01.062
Download: Request For Article
 




ONLINE SUBMISSION
USER LOGIN


Username
Password
Login | Register
News & Events
SCImago Journal & Country Rank

Terms and Conditions
Disclaimer
Refund Policy
Instrucations for Subscribers
Privacy Policy

Copyrights Form

0.12
2018CiteScore
 
8th percentile
Powered by  Scopus
Google Scholar

hit counters free