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Method for achieving classification and self-recognition of biological genes by means of specific characters

A genetic trait, gene technology, applied in the field of biological information, can solve problems such as inability to classify and self-identify

Active Publication Date: 2016-10-12
广州麦仑信息科技有限公司
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Problems solved by technology

However, BLAST also has certain limitations. It cannot perform gene classification and self-identification according to corresponding traits under deep learning, and it is powerless to intelligently classify corresponding traits and self-identify for large-scale genetic data sets.

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  • Method for achieving classification and self-recognition of biological genes by means of specific characters
  • Method for achieving classification and self-recognition of biological genes by means of specific characters
  • Method for achieving classification and self-recognition of biological genes by means of specific characters

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Embodiment Construction

[0026] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments, wherein the schematic embodiments and descriptions are only used to explain the present invention, but are not intended to limit the present invention.

[0027] Such as Figure 1-Figure 6 As shown, a method for classifying and self-identifying biological genes with specific traits described in this specific embodiment adopts the following technical scheme:

[0028] Step 1: Build the operating environment of the Caffe deep learning framework;

[0029] Step 2: Preparation of biological gene information data;

[0030] Step 3: Establishment of biological gene trait identification model;

[0031] Step 4: Training of biological gene trait identification model;

[0032] Step 5: Identify the genetic information of unknown traits;

[0033] Step 1: It is to build a software and hardware environment suitable for Caffe deep learning operation. The hard...

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Abstract

The invention relates to the technical field of biological information, in particular to a method for achieving classification and self-recognition of biological genes by means of specific characters. The method comprises the following steps of setting up a Caffe deep learning framework operating environment, preparing biological gene information data, establishing a biological gene character recognition model, training the biological gene character recognition model and recognizing information of genes of which characters are unknown. A deep learning algorithm is adopted for constructing a model which can recognize biological gene information and find out the relation between the genes and corresponding characters, and then the model is used for recognizing the information of the genes of which the characters are unknown, so that the method has the advantages that the corresponding characters of the genes can be classified more conveniently and intelligently, and self-recognition can be conducted on the genes of which the characters are unknown.

Description

【Technical field】 [0001] The invention relates to the technical field of biological information, in particular to a method for classifying and self-identifying biological genes with specific traits. 【Background technique】 [0002] The Human Genome Project laid the foundation for studying diseases from genes, and people hope to find the relationship between human diseases and genes. The basic principle of genome-wide association study (GWAS, -Wide Association Study) is to select a certain statistical number of samples from the case group and the control group in the same layer of population, and compare the SNP loci in the whole genome range in the case group and the control group. If the frequency of a certain SNP site in the case group is significantly higher or lower than that in the control group, it is considered that the SNP site is associated with complex diseases. Although GWAS has discovered many SNPs associated with complex diseases, there are still many problems i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/18G06F19/24
CPCG16B20/00G16B40/00
Inventor 闫磊谢清禄余孟春
Owner 广州麦仑信息科技有限公司