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Cancer somatic mutation function influence prediction method

A technology of somatic mutation and prediction method, applied in the field of prediction of the impact of somatic mutation of cancer, can solve the problem of general prediction effect, and achieve the effect of predicting the effect of mutation function

Active Publication Date: 2022-03-08
HARBIN INST OF TECH
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Problems solved by technology

Existing cancer somatic mutation function prediction algorithms are mostly based on mutation-related biological characteristics (for example, sequence conservation), and these algorithms are generally effective in predicting the functional impact of somatic mutations.

Method used

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  • Cancer somatic mutation function influence prediction method
  • Cancer somatic mutation function influence prediction method
  • Cancer somatic mutation function influence prediction method

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specific Embodiment 1

[0036] according to Figure 1 to Figure 4 As shown, the specific optimized technical solution adopted by the present invention to solve the above technical problems is: a method for predicting the functional impact of cancer somatic mutations, comprising the following steps:

[0037] A method for predicting the functional impact of cancer somatic mutations, comprising the following steps:

[0038] Step 1: Construct a comprehensive mutation feature set to integrate the mutation frequencies of different populations together;

[0039] The step 1 is specifically:

[0040] Mutations have different frequencies in different populations. When some mutations have a higher frequency in the population, they tend to be harmless mutations, and when some mutations occur at a lower frequency, they tend to be harmful mutations; the mutation frequencies of different populations Integrate together as a class of predictive features to predict the functional impact of mutations.

[0041] Step ...

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Abstract

The invention relates to a cancer somatic mutation function influence prediction method. According to the method, a comprehensive mutation feature set is constructed, and mutation frequencies of different populations are integrated together; carrying out conservative estimation based on mutation sites of multiple species, and estimating the probability that the mutations are harmful mutations; mutation network feature construction based on gene product interaction is carried out, and mutation network feature construction is completed; and constructing a deep random forest prediction model based on multiple sampling and a hierarchical structure, and performing function prediction on cancer somatic mutation.

Description

technical field [0001] The invention relates to the technical field of predicting the functional impact of cancer somatic cell mutations, and relates to a method for predicting the functional impact of cancer somatic cell mutations. Background technique [0002] Whether somatic mutations used in cancer research have deleterious effects on molecular, tissue, or individual development. With the development of high-throughput biochip technology such as next-generation sequencing, a large amount of experimental data related to gene mutations has been generated. How to effectively and accurately functionally annotate these mutation data is a very meaningful and challenging research work. , by functionally annotating somatic mutations. Existing cancer somatic mutation function prediction algorithms are mostly based on mutation-related biological characteristics (for example, sequence conservation), and these algorithms are not effective in predicting the functional impact of soma...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B20/50G16B30/10G16B40/00G06K9/62
CPCG16B20/50G16B30/10G16B40/00G06F18/24323
Inventor 李杰王东王亚东
Owner HARBIN INST OF TECH
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