Deterministic models of chemical reactions systems have been used successfully in studying chemic... more Deterministic models of chemical reactions systems have been used successfully in studying chemical kinetics problems. However, in biochemical systems (e.g. cellular systems in biology), small molecular population sizes of some key reacting species can lead to results that cannot be predicted by the traditional deterministic models. It has been found that such processes involve intrinsic randomness that can be better modeled by stochastic models. Chemical Master Equation (CME) is an accurate stochastic model of well-stirred biochemical systems. We investigate reliable and efficient simulation methods for the CME, namely the implicit tau-leaping method. The tau-leaping algorithms were tested on several models of practical interest such as the Schl¨ogl model and the Goldbeter-Koshland switch and compared to the exact methods. We observed that, for systems not reaching steady state, the implicit tau-leaping strategy is accurate.
Communications in Computer and Information Science, 2009
Abstract. In this paper we have proposed a method for lungs nodule detection from computed tomogr... more Abstract. In this paper we have proposed a method for lungs nodule detection from computed tomography (CT) scanned images by using Genetic Algorithms (GA) and morphological techniques. First of all, GA has been used for auto-mated segmentation of lungs. Region ...
2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC), 2009
Abstract Breast cancer is the most common cancer diagnosed among US women. In this paper we have ... more Abstract Breast cancer is the most common cancer diagnosed among US women. In this paper we have done some experiments for tumor detection in digital mammogram images. First of all, we have described a method that segments the breast image automatically. As a preprocessing, we have used fuzzy based noise removal filter that removes noise. Then for segmentation, we have provided a background removal method. We have extracted eight different multi domains features. For accurate classification, we have used two different ...
Cellular environments are in essence stochastic, owing to the random character of the biochemical... more Cellular environments are in essence stochastic, owing to the random character of the biochemical reaction events in a single cell. Stochastic fluctuations may substantially contribute to the dynamics of systems with small copy numbers of some biochemical species. Then, stochastic models are indispensable for properly portraying the behaviour of the system. Sensitivity analysis is one of the central tools for studying stochastic models of cellular dynamics. Here, we propose some finite-difference strategies for estimating parametric sensitivities of higher-order moments of the system state for stochastic discrete biochemical kinetic models. To reduce the variance of the sensitivity estimator, we employ various coupling techniques. The advantages of the proposed methods are illustrated in several models of biochemical systems of practical relevance.
Abstract. In this paper we have proposed a method for lungs nodule detection from computed tomogr... more Abstract. In this paper we have proposed a method for lungs nodule detection from computed tomography (CT) scanned images by using Genetic Algorithms (GA) and morphological techniques. First of all, GA has been used for auto-mated segmentation of lungs. Region ...
Deterministic models of chemical reactions systems have been used successfully in studying chemic... more Deterministic models of chemical reactions systems have been used successfully in studying chemical kinetics problems. However, in biochemical systems (e.g. cellular systems in biology), small molecular population sizes of some key reacting species can lead to results that cannot be predicted by the traditional deterministic models. It has been found that such processes involve intrinsic randomness that can be better modeled by stochastic models. Chemical Master Equation (CME) is an accurate stochastic model of well-stirred biochemical systems. We investigate reliable and efficient simulation methods for the CME, namely the implicit tau-leaping method. The tau-leaping algorithms were tested on several models of practical interest such as the Schl¨ogl model and the Goldbeter-Koshland switch and compared to the exact methods. We observed that, for systems not reaching steady state, the implicit tau-leaping strategy is accurate.
Communications in Computer and Information Science, 2009
Abstract. In this paper we have proposed a method for lungs nodule detection from computed tomogr... more Abstract. In this paper we have proposed a method for lungs nodule detection from computed tomography (CT) scanned images by using Genetic Algorithms (GA) and morphological techniques. First of all, GA has been used for auto-mated segmentation of lungs. Region ...
2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC), 2009
Abstract Breast cancer is the most common cancer diagnosed among US women. In this paper we have ... more Abstract Breast cancer is the most common cancer diagnosed among US women. In this paper we have done some experiments for tumor detection in digital mammogram images. First of all, we have described a method that segments the breast image automatically. As a preprocessing, we have used fuzzy based noise removal filter that removes noise. Then for segmentation, we have provided a background removal method. We have extracted eight different multi domains features. For accurate classification, we have used two different ...
Cellular environments are in essence stochastic, owing to the random character of the biochemical... more Cellular environments are in essence stochastic, owing to the random character of the biochemical reaction events in a single cell. Stochastic fluctuations may substantially contribute to the dynamics of systems with small copy numbers of some biochemical species. Then, stochastic models are indispensable for properly portraying the behaviour of the system. Sensitivity analysis is one of the central tools for studying stochastic models of cellular dynamics. Here, we propose some finite-difference strategies for estimating parametric sensitivities of higher-order moments of the system state for stochastic discrete biochemical kinetic models. To reduce the variance of the sensitivity estimator, we employ various coupling techniques. The advantages of the proposed methods are illustrated in several models of biochemical systems of practical relevance.
Abstract. In this paper we have proposed a method for lungs nodule detection from computed tomogr... more Abstract. In this paper we have proposed a method for lungs nodule detection from computed tomography (CT) scanned images by using Genetic Algorithms (GA) and morphological techniques. First of all, GA has been used for auto-mated segmentation of lungs. Region ...
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Papers by Fauzia Jabeen