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Genes participating in a common module may cause clinically similar diseases and shares the common genetic origin of their associated disease phenotypes. Identifying such modules may be helpful in system level understanding of biological and cellular processes or their disruption caused in associated diseases. The choose dofthe appropriate method for gene selection is a difficult task. In this work...
Interactions among proteins are important mechanisms in living cells. The whole set of interactions is often referred to as a protein-protein interaction network (PIN). Comparison among such networks may discover conserved (or disrupted) patterns of interactions among species. Such comparison is performed using network alignment algorithms. They help analyse PPI networks for a better understanding...
Improving the accuracy, reducing the time to authenticate users and preserving privacy are some of the pivotal issues in smartphone security. A majority of published owner identification methods have concentrated on improving accuracy, emphasizing less on response time. Usage pattern of smartphone apps by the owner may be used as an important signature to differentiate between the legitimate user...
Biological networks are usually used to model interactions among biological macromolecules in a cells. For instance protein-protein interaction networks (PIN) are used to model and analyse the set of interactions among proteins. The comparison of networks may result in the identification of conserved patterns of interactions corresponding to biological relevant entities such as protein complexes and...
With the availability of high precision MRI scanners helps in automatic clinical analysis of human brain for tumor detection. Cerebral cortex extraction from brain MR images is a challenging task due to its highly convoluted complex structures. In this paper we first extract cerebral cortex from MRI using morphological approach. Next we segment gray and white matters using DenSeg, a Density based...
Different data mining techniques are utilized for knowledge discovery in modern real-world databases. Such techniques quite often require discretization of values. The task of discretization of items in a database is basically, a kind of transformation of continuous values to a simpler form of comprehension. Discretization has far reaching effects on the entire knowledge discovery process and interestingly,...
Association rule mining (ARM) techniques are effective in extracting frequent patterns and hidden associations among data items in various databases. These techniques are widely used for learning behavior, predicting events and making decisions at various levels. The conventional ARM techniques are however limited to databases comprising categorical data only whereas the real-world databases mostly...
Plethora of software tools are available for inference and visualization of Gene Regulatory Networks (GRN) with their relative strengths and weaknesses. System and computational biologists quite often find it difficult to select a candidate tool for their experimentation. In this paper we present a comprehensive study on some of the promising and influential software tools developed so far for in-silico...
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