Saroj Kumar Pradhan

Work place: Electrical Engg, Veer Surendra Sai University of Technology, Burla, Odisha, India



Research Interests: Engineering


Saroj Kumar Pradhan: received B.E. Degree in Electrical Engineering from Veer Surendra Sai University of Technology (VSSUT), in 2003 and M.Tech Degree in Electrical Engineering from Veer Surendra Sai University of Technology (VSSUT) in 2011. Currently he is working as Asst. Professor in Electrical Engineering Veer Surendra Sai University of Technology (VSSUT), Burla. His current research focuses on Power system and Signal Processing.

Author Articles
Cascaded Factor Analysis and Wavelet Transform Method for Tumor Classification Using Gene Expression Data

By Jayakishan Meher Ram Chandra Barik Madhab Ranjan Panigrahi Saroj Kumar Pradhan Gananath Dash

DOI:, Pub. Date: 8 Aug. 2012

Correlation between gene expression profiles to disease or different developmental stages of a cell through microarray data and its analysis has been a great deal in molecular biology. As the microarray data have thousands of genes and very few sample, thus efficient feature extraction and computational method development is necessary for the analysis. In this paper we have proposed an effective feature extraction method based on factor analysis (FA) with discrete wavelet transform (DWT) to detect informative genes. Radial basis function neural network (RBFNN) classifier is used to efficiently predict the sample class which has a low complexity than other classifier. The potential of the proposed approach is evaluated through an exhaustive study by many benchmark datasets. The experimental results show that the proposed method can be a useful approach for cancer classification.

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