Fast Processing with Multi Valued Representation to Genomic Signal Processing

Abstract

The computational effort for genomic processing is observed to be very high time consuming due to larger data set. The clustering based approach or the hierarchical ordering approaches for a mining issue is observed slower. To improve the performance of a genomic processing operation in automated application rather to system level modification, in this paper we present a new modeling of data representation using multi level representation. An approach to the processing of such a multi level representation is developed and evaluated over variable genomic data sets. The performance is observed with comparison to the existing cluster and hierarchal processing approaches.