Jayakishan Meher

TL;DR: Novel and efficient comb filter-based techniques for the prediction of protein coding region based on the period-3 behavior of codon sequences are described and shown that cascaded differentiator comb (CDC) filter can be used for prediction ofprotein coding region with better prediction efficiency, and involves less computational complexity compared with the other signal processing techniques based onperiod-3 property.

TL;DR: This study presents an integrated signal processing algorithm that considerably reduces the computational load by compressing the DNA sequence effectively and aids the problem of searching for coding regions in DNA sequences.

TL;DR: A new indicator sequence based on amino acid sequence, called as aminoacid indicator sequence, derived from DNA string is presented that uses the existing signal processing based time-domain and frequency domain methods to predict these regions within the billions long DNA sequence of eukaryotic cells which reduces the computational load by one-third.

TL;DR: Novel preprocessing techniques such as optimized spatial resolution (OSR) and spatial domain filtering (SDF) are introduced for reduction of noise from microarray data and reduction of error during quantification process for estimating the microarray spots accurately to determine expression level of genes.

TL;DR: An effective feature extraction method based on factor analysis (FA) with discrete wavelet transform (DWT) to detect informative genes and can be a useful approach for cancer classification is proposed.