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MicroRNAs (miRNAs) are small non-coding RNA molecules that post-transcrlptionally regulate gene expression by base-pairing to mRNAs. Prediction of microRNA (miRNA)- target transcript pair is now in the forefront of current research. A number of experimental and computational approaches have already detected thousands of targets for hundreds of human miRNAs. However, most of the computational target...
Simultaneous overexpression or under-expression of multiple genes, used in various forms as probes in the high throughput microarray experiments, facilitates the identification of their underlying functional proximity. This kind of functional associativity (or conversely the separability) between the genes can be represented proficiently using coexpression networks. The extensive repository of diversified...
Biclustering in microarray data is used to discover a set of genes expressed similarly in a subset of conditions. Biclustering algorithms require to identify coherent and non-trivial biclusters, i.e., the biclusters should have low mean squared residue and high row variance. This article presents a genetic algorithm based biclustering technique that optimizes a combination of these objectives. A novel...
Automatic identification of genes has been an actively researched area of bioinformatics. Compared to earlier attempts for finding genes, the recent techniques are significantly more accurate and reliable. Many of the current gene-finding methods employ computational intelligence techniques that are known to be more robust when dealing with uncertainty and imprecision. In this paper, a detailed survey...
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