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The Bayesian belief network is a powerful knowledge representation and reasoning tool under conditions of uncertainty to analyze gene expression patterns. Nowadays, this is an important tool to construct mathematical models based on probability to identify any particular dominant Genetic Network of any organism under observation. The present study deals with analysis of a set of micro array data collected...
The paper proposes a simple method for constructing gene regulatory network from the microarray gene expression time series data set of `Burkholderia Pseudomalli' at various phases of growth in vitro. This has been collected from GEO data base of NCBI web-site (a genetic time series data consists of 5289 genes & 48 samples). These microarray data set represents the external manifestation of internal...
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