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Ovarian cancer molecular typing prediction system

A technology for molecular typing and prediction system, applied in the field of data processing

Active Publication Date: 2019-02-19
NANCHANG ROYO BIOTECH CO LTD
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Problems solved by technology

According to the existing clinical diagnosis and treatment methods, it is difficult to continue to improve the survival rate of ovarian cancer. Therefore, based on the heterogeneity of cancer, it is necessary to deeply understand the complex pathogenic factors of ovarian cancer through mining and research on the gene expression profile of ovarian cancer. mechanism

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  • Ovarian cancer molecular typing prediction system
  • Ovarian cancer molecular typing prediction system
  • Ovarian cancer molecular typing prediction system

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[0080] In order to make the purpose, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The specific embodiments described here are only used to explain the technical solution of the present invention, and are not limited to the present invention.

[0081] In the study of cancer subtype classification models, the commonly used modeling method is k-means. The predictability of its grouping is its advantage, but each subtype needs to be defined manually in the later stage, so for the two relatively similar Subtypes, there may be bias in the definition of typing. Therefore, we adopted the BP model in the neural network, which can directly predict the accurate subtype of each sample, which is a new method for cancer subtype classification. In addition, by comparing the research results of the TCGA team and the conclusions of Tothill et...

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Abstract

The invention provides a ovarian cancer molecular typing prediction system. The system mainly comprises the following steps of step1, using an ovarian cancer mRNA gene expression characteristic data extraction module: acquiring ovarian cancer gene expression data; step2, for all gene expression data, using a preprocessing. scale method in skleam to carry out standardized processing, and accordingto a formula which is Z-scroce=(x-mu) / S<2>, and processing each mRNA expression spectrum data into data submitting to normal distribution with the mean value of 0 and the variance of 1; step3, selecting main characteristic gene data: using principal component analysis (PCA) and a Filter characteristic selection method; step4, using a BP neural network to carry out genetic data training model withN characteristics; and step5, using a certain amount of samples to carry out callback program verification. In the invention, through an ovarian cancer pathological section, automatic machine identification and error reporting can be realized, and rapid and accurate ovarian cancer molecular typing prediction is achieved; and the system is used to carry out ovarian cancer molecular typing prediction so that a clinical treatment plan can be improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a molecular type prediction system for ovarian cancer. Background technique [0002] Ovarian cancer is the disease with the highest mortality among gynecological cancers today, and its early diagnosis, prognosis and individual differences are quite large. According to the existing clinical diagnosis and treatment methods, it is difficult to continue to improve the survival rate of ovarian cancer. Therefore, based on the heterogeneity of cancer, it is necessary to deeply understand the complex pathogenic factors of ovarian cancer through mining and research on the gene expression profile of ovarian cancer. mechanism. By mining the gene expression differences of ovarian cancer in genomics data, ovarian cancer can be divided into four subtypes: differentiation type, proliferative type, immune response type, and mesenchymal type, in order to correctly understand the pathogen...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B20/20G16B5/00G06N3/08
CPCG06N3/084
Inventor 邓立彬王豪庆梁博文王紫璇杨霭琳傅芬汤晓丽
Owner NANCHANG ROYO BIOTECH CO LTD
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