Data Preprocessing and Reducing for Microarray Data Exploration and Analysis

microarray data analysis for detection and classification of viral infection

dna microarrays consist of collection of dna microscopic spots that in order to form an array attached to a solid surface such as glass, plastic or silicon chip. the pieces of fixed dna considered as a searcher. in this technology it is possible to test sample against thousands probes for specific genes. with this ability, arrays accelerate the biological investigations, gene finding, molecular...

cDNA Microarray Data Normalization

An Integrated Data Analysis Approach to Preprocessing, Visualization and Clustering of Microarray Data

Microarray technologies represent a powerful tool in biological research, but in order to attain their full potentialities, it is crucial to develop techniques to effectively exploit the huge quantity of data produced. We propose an innovative tool specifically tailored to perform preprocessing, visualization and clustering on this type of data. The improvements with respect to more traditional...

Improving the Performance of ICA Algorithm for fMRI Simulated Data Analysis Using Temporal and Spatial Filters in the Preprocessing Phase

Introduction: The accuracy of analyzing Functional MRI (fMRI) data is usually decreases in the presence of noise and artifact sources. A common solution in for analyzing fMRI data having high noise is to use suitable preprocessing methods with the aim of data denoising. Some effects of preprocessing methods on the parametric methods such as general linear model (GLM) have previously been evalua...

Vistaclara: a Visualization for Microarray Data Exploration

The permutation matrix is a simple yet powerful visualization technique for interactive exploration of tabular data. VistaClara is an implementation of a permutation matrix designed for exploratory microarray data analysis. The software supports incorporating supplemental data, which allows visually searching for patterns in microarray data that correlate with other types of relevant measuremen...