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A Novel Method of Studying the Disease Regulatory Activities of MicroRNAs

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MicroRNAs (miRNAs) are small, non-coding RNAs that participate in the post-transcriptional regulation of messenger RNAs (mRNAs) by degrading or inhibiting translation. Some of the topical studies strongly suggest that the disorders in the normal activities of miRNAs might cause many diseases. Generally, such studies concern patient-specific expression profiles for the purposes like pruning, clustering or classification. This paper describes a novel relative coexpression measure to compute deviation in microarray expression profiles of diseased people over a set of people. This measure is used by an unsupervised algorithm of complexity O (n3 log n), where n denotes the number of miRNAs, to locate the group of miRNAs responsible for the specific disease. The results taken over the expression data of schizophrenic patients show efficiency in locating brain-enriched miRNAs, which have earlier established support to be associated with schizophrenia neuropathology.

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Keywords: Schizophrenia; miRNA; microarray; p-value

Document Type: Research Article

Publication date: September 1, 2009

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  • Current Bioinformatics aims to publish all the latest and outstanding developments in bioinformatics. Each issue contains a series of timely, in-depth reviews written by leaders in the field, covering a wide range of the integration of biology with computer and information science.

    The journal focuses on reviews on advances in computational molecular/structural biology, encompassing areas such as computing in biomedicine and genomics, computational proteomics and systems biology, and metabolic pathway engineering. Developments in these fields have direct implications on key issues related to health care, medicine, genetic disorders, development of agricultural products, renewable energy, environmental protection, etc.

    Current Bioinformatics is an essential journal for all academic and industrial researchers who want expert knowledge on all major advances in bioinformatics.
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