Detecting Similarities between Families of Bio-sequences using the Steady-State of a PCA-Neural Network

Abstract

In this paper we proposed a novel algorithm to detect similarities and dissimilarities between any two given families of biological sequences using the steady state concept of a PCA-neural network. Traditionally, PCA is an encoding technique used to encode data embedded in a high dimensional space to a lower dimensional space under the condition that a… (More)
DOI: 10.1109/CIBCB.2006.330988

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