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Metabonomics data fusion optimization processing method

A metabolomics data and processing method technology, applied in the field of metabolomics data fusion optimization processing, to achieve the effect of saving optimization time, improving computing speed, and increasing the amount of data information

Active Publication Date: 2017-09-05
WENZHOU MEDICAL UNIV
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Problems solved by technology

However, there are currently many different data preprocessing methods, how to choose the best data preprocessing method according to different data characteristics is a hot issue in the field of data analysis

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  • Metabonomics data fusion optimization processing method

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Embodiment Construction

[0036] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0037] figure 1 A schematic flowchart showing a metabolomics data fusion optimization processing method proposed by the present invention. refer to figure 1 , the method includes:

[0038] Step 1: Transform metabolomics data from different sources on multiple patients into matrices respectively. Metabolomics data from different sources can come from different biological samples, such as blood, urine, feces, sweat, heart tissue, kidney tissue, liver tissue, gastrointestinal tract tissue, or from different analysis techniques, Such as nuclear magnetic resonance spectrometer, liquid mass spectrometer, gas spectrometer, infrared spectrometer, ultraviolet spectrometer, Raman spectrometer.

[0039] However, these data must be converted into a unified matrix format, such as figure 2 As shown, each row is the relevant information of a patient, where the ...

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Abstract

The invention discloses a metabonomics data fusion optimization processing method. The method comprises the following steps of 1, converting metabonomics data of many patients of different sources into metabonomics data matrixes separately, 2, using an experiment design method to optimize a metabonomics data optimal preprocessing method with different sources separately, then through the optimized data optimal preprocessing method to process the metabonomics data matrixes in the step 1, and through the combination of a classification model, finding metabolite data with great contribution; 3, converting the metabolite data with the great contribution found in the step 2 into an important metabolic data matrix; 4, using the experiment design method to optimize the data optimal preprocessing method of the important metabolic data matrix, through the optimized data optimal preprocessing method, processing the important metabolic data matrix obtained in the step 3, and through the combination of the classification model, typing and classifying different patients. According to the metabonomics data fusion optimization processing method, the accuracy for typing and classifying diseases is improved, and a doctor can be assisted in more precisely laying out a personalized treatment scheme for a patient.

Description

technical field [0001] The present application relates to the field of medical data information mining, and more specifically relates to a metabolomics data fusion optimization processing method. Background technique [0002] With the advent of the era of precision medicine, accurate classification of diseases is extremely important for formulating personalized and precise treatment plans. Metabolomics is a relatively new omics technology following genomics and proteomics. The purpose of this technology is to detect as many small molecule metabolites in biological samples as possible, so as to reflect the biological conditions in different environments ( Such as the metabolic changes in the course of disease occurrence and development, drug / diet intervention, etc.). Metabolomics technology can reflect the individual differences of organisms at the level of metabolites, therefore, this technology can realize the typing and classification of clinical diseases. [0003] Metab...

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Application Information

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IPC IPC(8): G06F19/00
CPCG16C20/10G16C20/70
Inventor 郑宏高红昌
Owner WENZHOU MEDICAL UNIV
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