Learning Gene Regulatory Networks Computationally from Gene Expression Data Using Weighted Consensus
Gene regulatory networks analyze the relationships between genes allowing us to un- derstand the gene regulatory interactions in systems biology. Gene expression data from the microarray experiments is used to obtain the gene regulatory networks. How- ever, the microarray data is discrete, noisy and...
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| Language: | en |
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2015
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| Online Access: | Fujii, C. (2015). Learning Gene Regulatory Networks Computationally from Gene Expression Data Using Weighted Consensus. KAUST Research Repository. https://doi.org/10.25781/KAUST-1A8VV http://hdl.handle.net/10754/550417 |