Big DNA datasets analysis under push down automata

Abstract

Consensus is a significant part that supports the identification of unknown information about animals, plants and insects around the globe. It represents a small part of Deoxyribonucleic acid (DNA) known as the DNA segment that carries all the information for investigation and verification. However, excessive datasets are the major challenges to mine the accurate meaning of the experiments. The datasets are increasing exponentially in ever seconds. In the present article, a memory saving consensus finding approach is organized. The principal component analysis (PCA) and independent component (ICA) are used to pre-process the training datasets. A comparison is carried out between these approaches with the Apriori algorithm. Furthermore, the push down automat (PDA) is applied for superior memory utilization. It iteratively frees the memory for storing targeted consensus by removing all the datasets that are not matched with the consensus. Afterward, the Apriori algorithm selects the desired consensus from limited values that are stored by the PDA. Finally, the Gauss-Seidel method is used to verify the consensus mathematically.

Evaluation of Independent Components Analysis from Statistical Perspective and Its Comparison with Principal Components Analysis

“…Nowadays, ICA is widely used in,  Medical imaging (Determining the sources of the signals emitted by the brain and separating the ultrasonography signals [10][11][12]),  Geology (Investigating seismic waves and geological mapping [13][14][15]),  Fault detection (Detecting faults encountered in quality control processes [16][17][18]),  Image processing (Revealing the attributes of the images and deblurring the images [19][20][21]),  Telecommunications (Separating radio waves or audio signals [22][23][24]),  Econometrics (Determining the components that play a role in the formation of financial series [25][26][27]),  Data and text mining (Reducing size [28][29][30]),  Bioinformatics and genetics (Ascertaining essential components in gene expression [31][32][33]),  Chemistry (Analyzing the components in the NIR spectroscopy used in the production and break down of foods [34][35][36]).…”