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Nuclear receptors are important transcriptional regulators involved in widely diverse physiological functions such as control of embryonic development, cell differentiation, and homeostasis. In addition, these molecules are extremely important in medical research since a large number of them are implicated in diseases such as cancer, diabetes, or hormone resistance syndromes. Identification of nuclear...
In this paper, a new wavelet shrinkage denoising algorithm is presented. The algorithm uses wavelet transform (WT) to extract information about sharp variation in multiresolution images and applies shrinkage function adapting the image features. The features are detected by energy of neighboring pixels, whereas in standard wavelet methods, the empirical wavelet coefficients shrink pixel by pixel,...
The classification of an organism gene sequence into coding and non-coding regions is a challenging task in DNA sequence analysis. The classification algorithms operate on the basic assumptions that every protein coding regions should have some distinct sequence features or properties that can distinguish it from the surrounding regions, such as non-coding regions and intergenic regions. In this study,...
In this paper we address the issue of enhancement in the quality of scanned images of old manuscripts. Small portions of the text in these manuscripts have degraded with time and are not readable. We propose a segmentation based histogram matching scheme for enhancing these degraded text regions. To automatically identify the degraded text we use a matched wavelet based text extraction algorithm followed...
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