alexa Abstract | Clustering analysis of cancerous microarray data

Journal of Chemical and Pharmaceutical Research
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Original Articles Open Access


Due to rapid advancement in microarray technology it is possible to measure expression of tens of thousands of genes simultaneously and as a result we have flood of data that need to be analyzed for the discovery of fruitful knowledge. Clustering is a well-known unsupervised learning approach that clubs a set of similar objects in groups that forms clusters. Cancerous microarray data may reveal fruitful information related to underlying mechanisms of cancer at molecular level which can be used for better diagnosis and therapies of cancers. In this paper, we applied four different clustering techniques, such as k-means, hierarchical, density-based and expectation maximization approaches, on five different kinds of cancerous gene expression data (lung, breast, colon, prostate, breast and ovarian cancer) for their analysis

To read the full article Peer-reviewed Article PDF image

Author(s): Khalid Raza


Clustering analysis, Microarray, Gene expression, Cancer classification, microarray

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version