Shannon Entropy Analysis of the Genome Code
2012 ◽
Vol 2012
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pp. 1-12
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This paper studies the chromosome information of twenty five species, namely, mammals, fishes, birds, insects, nematodes, fungus, and one plant. A quantifying scheme inspired in the state space representation of dynamical systems is formulated. Based on this algorithm, the information of each chromosome is converted into a bidimensional distribution. The plots are then analyzed and characterized by means of Shannon entropy. The large volume of information is integrated by averaging the lengths and entropy quantities of each species. The results can be easily visualized revealing quantitative global genomic information.
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2021 ◽
Vol 104
◽
pp. 103294
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Predicting equity premium using dynamic model averaging. Does the state–space representation matter?
2021 ◽
Vol 57
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pp. 101442
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1982 ◽
Vol 27
(6)
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pp. 1200-1211
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2021 ◽
Vol 9
(2)
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pp. 53-59
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2004 ◽
Vol 52
(10-2004)
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pp. 470-480
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