CircRNA function prediction method based on scoring mechanism and LightGBM

Abstract

In order to overcome the defects in the prior art, the invention aims to predict the function of circRNA by using a scoring mechanism in combination with a LightGBM method. In order to solve the problem, the technical scheme adopted by the invention mainly comprises the following steps: (1) inputting circRNA of a big data sample in the form of a (. Bed) file; and (2) mapping the circRNA (. Bed) file to a whole human genome (hg19 version) to obtain a circRNA sequence information (. Fasta) file. And (3) proposing a feature fusion algorithm, and fusing the circRNA features. And (4) inputting thecharacteristics into a class A decision system, and distinguishing the encoded protein type circRNA. And (5) enabling other circRNAs to pass through the three models respectively, and judging variousfunctions of the circRNAs according to a sequence to obtain a prediction probability value. And (6) according to a scoring mechanism, enabling the obtained three prediction probability values to passthrough a B-type judgment system to obtain a final circRNA function classification prediction result.

Description

technical field [0001] The invention relates to the technical field of bioinformatics, in particular to the field of CircRNA function prediction. Background technique [0002] CircRNAs have multiple functions in biology, such as being rich in miRNA binding sites and acting as sponges in cells; regulating protein activity by binding to proteins; some circRNAs can even be translated into proteins. Therefore, it has also become an important potential biomarker in recent years, and the identification of its function is a cumbersome task. Traditional methods often use experimental methods to test the functions of new circRNAs one by one based on the existing functions of circRNAs. This method is time-consuming and laborious, and it is very difficult to identify the function of a large number of CircRNAs. At present, there is no method to predict the function of circRNA in advance, so as to test one of its functions in a targeted manner, and then analyze its specific role in clin...

AI Technical Summary

Problems solved by technology

Therefore, it has also become a more important potential biomarker in recent years, and the identification of its function is a cumbersome task. Traditional methods often use experimental methods to test the functions of new circRNAs one by one based on the existing functions of circRNAs. This method is time-consuming and laborious, and it is very difficult to identify the function of large quantities of CircRNA

At present, there is no method to predict the function of circRNA in advance, so as to test one of its functions in a targeted manner, and then analyze its specific role in clinical medicine

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