Integration and Reduction of Microarray Gene Expressions Using an Information Theory Approach
Author(s):
Shamsaee , Reza , Fathy , Mahmood , Masoudi-Nejad
Abstract:
The DNA microarray is an important technique that allows researchers to analyze many gene expression data in parallel. Although the data can be more significant if they come out of separate experiments, one of the most challenging phases in the microarray context is the integration of separate expression level datasets that have gathered through different techniques. In this paper, we present a general novel method for the integration of any collected data whose distributions have been linearly transformed. The new method is based on the information theory concepts. More than that, this article presents a new approach for checking of the linearity between two distributions as a validation technique. The validation technique assists in taking the feature reduction process in effect prior to the integration phase. The time complexity of the proposed algorithm is low and the new presented methods show good functionality. The experimental results are presented at the end of the paper.
Language:
English
Published:
Iranian Journal of Chemistry and Chemical Engineering, Volume:29 Issue: 4, Jul-Aug 2010
Page:
19
magiran.com/p881667
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یکساله به مبلغ 1,390,000ريال میتوانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
- حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران میشود.
- پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانههای چاپی و دیجیتال را به کاربر نمیدهد.
In order to view content subscription is required
Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!