Now showing items 1-4 of 4
A framework towards computational discovery of disease sub-types and associated (sub-)biomarkers.
Biomarker related patient data is generally assessed in order to determine relevant but generalized subset of the biomarkers. However, it fails to identify specific sub-groups of the patients or their corresponding (subset ...
Construction of protein distance matrix based on amino acid indices and Discrete Fourier Transform.
Protein distance matrix is widely used in various protein sequence analyses, and mainly obtained by using pairwise sequence alignment scores or protein sequence homology, which fail to take into consideration of individual ...
Signal-processing-based bioinformatics approach for the identification of influenza A virus subtypes in Neuraminidase genes.
Neuraminidase (NA) genes of influenza A virus is a highly potential candidate for antiviral drug development that can only be realized through true identification of its sub-types. In this paper, in order to accurately ...
Reconfiguration-based implementation of SVM classifier on FPGA for classifying microarray data.
Classifying Microarray data, which are of high dimensional nature, requires high computational power. Support Vector Machines-based classifier (SVM) is among the most common and successful classifiers used in the analysis ...