Analysis of Ebolavirus with Decision Tree and Apriori algorithm

Eunby Go, Seung-Min Lee, Taeseon Yoon

International Journal of Machine Learning and Computing · 2014 · 18 citations · 6 references

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Abstract

EbolaVirus, which has high facilities up to 90%, is introduced into the human population through close contact with the blood, secretions, organs or other bodily fluids of infected animals. It is mostly occurred in Central and West Africa, near tropical rainforests and their host are bats. In this paper, we analyzed the DNA sequences of 5 Ebolavirus : Bundibugyo Ebolavirus, Reston Ebolavirus, Sudan Ebolavirus, TaiForest Ebolavirus, and Zaire Ebolavirus and investigated the difference between them based on the genus they are involved in. Furthermore, we look for the frequency of the amino acid and find the similarities between the Ebolaviruses.

References

6