Abstract
The study of RNA interference (RNAi) has recently revolutionized the functional analysis of genes. The large number of images produced by the RNAi experiments requires highly efficient compression tools. In this paper we propose a new lossless compression scheme which is customized for these images. Based on the intensity distribution of the pixels they are classified into three classes. Using the classification of pixels along with the local spatial formation of pixels a context based method is proposed. Comparison of the proposed method with the existing state-of-the-art lossless compression standards and two well-known general purpose methods are performed to show the efficiency of the proposed method.
Sign-in/Register to access full text options 
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.
