Automated image-based protein subcellular location prediction in human reproductive tissue based on ensemble learning global and local patterns Online publication date: Mon, 03-Aug-2015
by Fan Yang
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 8, No. 4, 2015
Abstract: Human reproductive system is a unique organ system owing to which humans are capable of reproducing and bearing live offsprings. From a microscopic point of view, this system process requires protein appearing on the right subcellular location at the right time. In this paper, we developed a novel protocol for protein subcellular localisation prediction from human reproductive normal tissues. According to experimental results, three conclusions can be summarised. First, the completed local binary pattern is more discriminative for describing immunohistochemistry images. Second, the proposed ensemble classifier based on support vector machine learning models has a significant improvement. Third, through three different statistical voting approaches, two proteins for male and two proteins for female were identified as the biomarkers in reproductive tissue. These promising results indicate that the developed protocol can be applied not only for accurate large-scale image-based protein subcellular localisation annotations but also for biomarker identification of human reproductive tissue.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Wireless and Mobile Computing (IJWMC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com