Here, we report the application of an entropy-enhanced frequency-domain analysis method to examine large-scale genomic data. This ensures superior coherency for qualitative and quantitative analysis. Different statistical methods are used to analyze large-scale data produced and attempts have been made to perform data mining. These efforts have been partially successful due to sequence gaps, noncoding and low complexity regions, inaccuracy, etc. In contrast, we report a novel robust method that is based on frequency-domain analysis. Our paradigm complements a number of far-reaching perceptions that new concepts emerge to comprehend complex large-scale genomic data under uncertainties.

Date of creation, presentation, or exhibit



Copyright 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ISBN: 0-7803-8536-5Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.

Document Type

Conference Proceeding

Department, Program, or Center

Microelectronic Engineering (KGCOE)


RIT – Main Campus