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A set of correlated and co-expressed genes, often referred as a functional module, play a synergistic role during any disease or any biological activities. Genes participating in a common module may cause clinically similar diseases and share a common genetic origin of their associated disease phenotypes. Identifying such modules may be helpful in system-level understanding of biological and cellular...
Bioinformatics research is characterized by voluminous and incremental datasets and complex data analytics methods. The machine learning methods used in bioinformatics are iterative and parallel. These methods can be scaled to handle big data using the distributed and parallel computing technologies. Usually big data tools perform computation in batch mode and are not optimized for iterative processing...
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...
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...
Complex biological systems are often represented as networks and studied computationally. In protein–protein interaction networks, interactions give rise to certain compounds known as protein complexes. Identifying functional protein complexes is an emerging field of study in system biology. Several machine learning methods have been proposed so far to detect functionally enriched protein complexes...
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