Application of improved partial least squares regression method to microorganism culture medium optimization

A microbial culture medium, partial least squares technology, applied in design optimization/simulation, special data processing applications, instruments, etc., can solve problems such as poor prediction accuracy, extraction of a large number of latent variables of mixed noise, and inability to reliably predict data. , to achieve the effect of building simplicity

Active Publication Date: 2018-10-16
XINXIANG MEDICAL UNIV
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Problems solved by technology

[0003] However, on the other hand, PLSR often shows a tendency of overfitting, which is caused by the large number of latent variables for extracting confounding noise.
Overfitting is a statistical phe...

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  • Application of improved partial least squares regression method to microorganism culture medium optimization
  • Application of improved partial least squares regression method to microorganism culture medium optimization
  • Application of improved partial least squares regression method to microorganism culture medium optimization

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Embodiment Construction

[0026] The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0027] Example Using an improved PLSR-based medium optimization strategy to improve the ethanol tolerance of Clostridium thermocellum

[0028] 1. Experimental materials and measurement methods. Clostridium thermocellum ATCC35609 resistant strain (tolerance to 3% (V / V) exogenous ethanol), GS-2 medium is the initial medium, culture method: 60 ℃ anaerobic (filled with 10% CO 2 , 5%H 2 and 85%N 2 Maintain anaerobic environment) static culture, after culturing for 48h, use turbidimetry to measure bacterial biomass, use high performance chromatography (HPLC) to measure sugar consumption, fermentation broth acetic acid concentration, lactic acid concentration and ethanol concentration, and use acidity meter to measure The pH drop of the fermentation broth.

[0029] 2. Uniformly designed experiments. According t...

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Abstract

The invention discloses an application of an improved partial least squares regression method to microorganism culture medium optimization. According to the application, a cross validation technologyand a variable screening technology are integrated to reduce potential overfitting problem of PLSR, namely, a proper number of potential variables are extracted by carrying out cross validation through a leave-one-out method, and a steady principle of coefficients is decided by utilizing a variable projection importance technology-based variable screening method and a regression model so as to establish simple and steady models with high prediction precision. According to the application, the VIP regression model is capable of effectively establishing the simple and steady models which are high in prediction precision and can be further popularized.

Description

technical field [0001] The invention relates to the application of a multivariate statistical method, in particular to the application of an improved partial least square regression method in the optimization of microbial culture medium. Background technique [0002] Partial least squares regression (PLSR) is a new type of multivariate statistical method because it combines the advantages of multiple linear regression, principal component analysis and canonical correlation analysis. Studies have shown that PLSR is good at dealing with multicollinearity that cannot be solved by conventional linear regression. , small samples, etc., and can use limited data to perform regression operations of multiple independent variables on multiple dependent variables at the same time. [0003] On the other hand, however, PLSR often exhibits a tendency to overfit due to the large number of latent variables that extract confounding noise. Overfitting is a statistical phenomenon, which gener...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 赵文慧赵长虹朱新术周晨妍张文博蔡刘滕
Owner XINXIANG MEDICAL UNIV
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