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Cancer classification method based on miRNAs expression profile and natural language model

A technology of natural language and classification method, which is applied in the field of cancer classification based on miRNAs expression profile and natural language model, can solve the problems of the batch effect of the result experiment, and achieve the effect of wide applicability

Pending Publication Date: 2022-06-24
GUANGZHOU UNIVERSITY
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Problems solved by technology

[0004] The purpose of the present invention is to disclose a cancer classification method based on miRNAs expression profile and natural language model, to solve the problem that the results of the cancer classification method based on genome data in the prior art are easily affected by the experimental batch effect

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  • Cancer classification method based on miRNAs expression profile and natural language model
  • Cancer classification method based on miRNAs expression profile and natural language model
  • Cancer classification method based on miRNAs expression profile and natural language model

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[0039] The following describes in detail the embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary, only used to explain the present invention, and should not be construed as a limitation of the present invention.

[0040] see figure 1 , the cancer classification method based on miRNAs expression profile and natural language model provided in the embodiment of the present invention comprises the following steps:

[0041] S1, obtaining miRNAs expression profile data of cancer samples and normal samples;

[0042] Specifically, the miRNAs expression profile data of cancer samples and normal samples were obtained from the TCGA database.

[0043] S2, remove the low-expression miRNAs expression profile...

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Abstract

The invention discloses a cancer classification method based on an miRNAs expression profile and a natural language model. The cancer classification method comprises the following steps: preprocessing a cancer miRNA expression data set sample; constructing a neighbor miRNA frequency data table according to the expression data of the miRNA; traversing each miRNA expression sample, and respectively calculating the statistical probability of each sample in the cancer group and the normal group based on a statistical language model method; and constructing a classifier to predict the category of the to-be-detected sample according to the statistical probability characteristics of the to-be-detected sample in the cancer group and the normal group. The cancer classification method based on the natural language model has the advantages of efficient prediction and simple calculation. According to the method, the ranking sequence of the expression values of the miRNA molecules in the samples is emphatically considered, and the expression difference of the miRNA molecules among the samples does not need to be concerned. The method is not influenced by a genome sequencing batch effect, and has wide applicability to classification of cancer samples.

Description

technical field [0001] The present invention relates to the technical field of bioinformatics and computational biology, in particular to a cancer classification method based on miRNAs expression profile and natural language model. Background technique [0002] According to the latest estimates of the global cancer burden in 2020 released by the World Health Organization's International Agency for Research on Cancer (IARC), there will be 19.29 million new cancer cases and 9.96 million cancer deaths globally in 2020. Cancer has become one of the common diseases with high incidence in China. It is an important research content to develop new methods of cancer classification and improve the accuracy of cancer classification. miRNAs are a class of short non-coding molecules with a length of about 20 nt. Studies have shown that the abnormal expression of some miRNAs is closely related to the occurrence and progression of various complex diseases, including cancer. With the deve...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F16/35G06F17/16G06F40/216G16B35/00G16B40/00G16B50/00
CPCG06F16/3344G06F16/3346G06F16/35G06F17/16G06F40/216G16B35/00G16B40/00G16B50/00
Inventor 许鹏俞健谢斌郭纪森鲍振申李先彬顾丽丽刘文斌
Owner GUANGZHOU UNIVERSITY
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