Method for predicting N6-methyladenosine modification site in RNA based on stacking integration
A technology of methyladenosine and prediction methods, applied in the field of systems biology, can solve problems such as single prediction model, single species, and limitations of traditional classifiers, and achieve good prediction performance
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[0033] In order to make the object, technical solution and advantages of the present invention clearer, the invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0034] A stacking-based integration of m in different species of RNA 6 A site prediction methods, such as figure 1 shown, including the following steps:
[0035] 1) Collect N in RNA 6 -Methyladenosine modification (m 6 A) Site information: Get the N of RNA from 3 different species 6 -Methyladenosine modification site data set, including the RNA sample sequence of the positive and negative data set and the corresponding category label.
[0036] 1-1) The real data of three species of S.cerevisiae, H.sapiens and A.thaliana are selected; the data set S.cerevisiae is used as a training set, and the data se...
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