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Lesion DNA recognition method and device, electronic equipment and storage medium

An identification method and DNA sequence technology, applied in the fields of biological information technology and neural network applications, can solve problems such as poor ability to identify diseased DNA sequences and label data, and achieve the effects of improving accuracy, saving training time and computing resources

Pending Publication Date: 2022-02-25
竹石生物科技(苏州)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a lesion DNA identification method, device, electronic equipment and storage medium to solve the problems in the prior art that the ability to identify lesion DNA sequences is poor and requires a large amount of labeled data

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  • Lesion DNA recognition method and device, electronic equipment and storage medium
  • Lesion DNA recognition method and device, electronic equipment and storage medium
  • Lesion DNA recognition method and device, electronic equipment and storage medium

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Embodiment Construction

[0069] In order to make the objects, technical solutions, and advantages of the present invention, the technical solutions in the present invention will be apparent from the drawings of the present invention, and it will be described in connection with the drawings of the present invention. , Not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained without creative labor are not made in the premise of creative labor.

[0070] The specification and claims of the invention and the terms "first", "second", "second", and the like in the above drawings are used to distinguish similar objects without having to describe a particular order or award order. It should be understood that the data such as use can be interchangeable in appropriate, so that the embodiments described herein can be implemented in the order other than the content illustrated or described herein.

[0071] The technical background according to the present invention...

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Abstract

The invention provides a lesion DNA recognition method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a to-be-detected DNA sequence, and preprocessing the to-be-detected DNA sequence to obtain a plurality of DNA sequence fragments; for each DNA sequence fragment, inputting the DNA sequence fragment into a trained first neural network model to output a first feature vector corresponding to the DNA sequence fragment; for each first feature vector, inputting the first feature vector into a trained second neural network model to output a second feature vector corresponding to the first feature vector, and adding the first feature vector and the corresponding second feature vector to obtain a combined feature vector; and inputting each combined feature vector into a trained classifier to obtain a classification result, wherein the classification result indicates whether the input DNA sequence to be detected is lesion DNA or not. According to the invention, the accuracy of lesion DNA recognition can be improved.

Description

Technical field [0001] The present invention relates to the field of biological information technology and neural network applications, and more particularly to a lesion DNA identification method, apparatus, electronic device, and storage medium. Background technique [0002] Cell DNA (CFDNA) in plasma, urine and cerebrospinal fluid is mainly released by apoptosis or necrotic cells into a degradation DNA fragment in the body fluid. In terms of tissue lesions and cancer, when the patient did not have a significant clinical symptom, the DNA state in lesion cells or cancer cells had changed and released into the body fluid, so it can be detected in the body fluid in cancer or various diseases. To the trace cycle disease DNA (CTDNA). With the development of high-throughput sequencing technology, the micro-liquid biopsy method is becoming a diagnosis of disease diagnosis by recognizing traces in a large amount of CFDNA sequencing data. [0003] However, the existing technical means is...

Claims

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Application Information

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IPC IPC(8): G16B30/00G06N3/08
CPCG16B30/00G06N3/08
Inventor 陈澍宜
Owner 竹石生物科技(苏州)有限公司
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