Abstract
The development of the biological technology provides people the opportunities to obtain the information which hides in the gene expression data, however, the huge gene number and the complex biological network increase the difficulty of the comprehending and explaining of these information. Therefore, people introduced clustering algorithms to discover the significative gene patterns, and then we propose and analyze a clustering algorithm which based on graph theory. Proved by the experiment, this algorithm not only can analyze the gene expression data fast, but also get good clustering quality.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
