A Molecular Type Prediction System for Ovarian Cancer

A technology of molecular typing and prediction system, applied in the field of data processing, to achieve better treatment, improved prognosis and survival time, and targeted treatment

Active Publication Date: 2021-09-24
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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  • A Molecular Type Prediction System for Ovarian Cancer
  • A Molecular Type Prediction System for Ovarian Cancer
  • A Molecular Type Prediction System for Ovarian Cancer

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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 present invention provides a molecular type prediction system for ovarian cancer, which mainly includes the following steps: step 1, ovarian cancer mRNA gene expression characteristic data extraction module: obtain ovarian cancer gene expression data; step 2, use skleam for all gene expression data The preprocessing.scale method performs standardization processing, according to the formula Z-scroce=(x-μ) / S 2 , process each piece of mRNA expression profile data into data with a mean value of 0 and a variance of 1 that obeys a normal distribution; step 3, select the main characteristic gene data: use principal component analysis (PCA) and Filter feature selection method; step 4, Use the BP neural network to train the model on the genetic data of N features; step 5, use a certain amount of samples to carry out the verification of the bring-back program, and the present invention can realize automatic machine identification and error reporting by means of ovarian cancer pathological slices, and realize fast and high-accuracy Ovarian cancer molecular typing prediction: Utilizing the system of the present invention to predict ovarian cancer molecular typing can better help improve clinical treatment plans.

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 Patents(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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