Joy Edward Larvie

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Reconstructing gene regulatory networks from gene expression data has received tremendous attention in functional genomics following advancements in microarray technology. These networks provide the framework for medical diagnosis, drug design, disease treatment and biological research. Several approaches from simple clustering to highly complex hybrid(More)
Gene regulatory networks represent an abstract mapping of gene regulations in living cells. They aim to capture dependencies among molecular entities such as transcription factors, proteins and metabolites. In most applications, the regulatory network structure is unknown, and has to be reverse engineered from experimental data consisting of expression(More)
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