Madhab Ranjan Panigrahi

Work place: Chemical Engineering, Vikash College of Engineering for Women, Bargarh, Odisha, India



Research Interests: Engineering, Physics & Mathematics, Physics


Madhab Ranjan Panigrahi: received his Ph.D, M.Tech and B.Tech in Chemical Engg from IIT Kharagpur, IIT Madras and NIT Rourkela, India respectively. He has hand on experience of research as a senior scientist in Regional Research Laboratory, Bhubaneswar, Odisha, India. Currently he is the principal of Vikash College of Engg for Women, Bargarh, Odisha, India. His research area includes hydrodynamics, environmental science and energy management. Recently he is tending his research towards drug discovery and quantification based on plant genomics and proteomics in herbal bioinformatics.

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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