RNN-based gene regulatory network construction and dynamic differential analysis method

A gene regulation network and regulation network technology, applied in the field of RNN-based gene regulation network construction and dynamic difference analysis, can solve the problem of poor accuracy

Active Publication Date: 2017-09-29
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0009] In order to overcome the deficiencies of the poor accuracy of the existing gene regulation network modeling and difference analysis methods, the present invention provides a more accurate RNN-based gene regulation network construction and dynamic difference analysis method

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  • RNN-based gene regulatory network construction and dynamic differential analysis method
  • RNN-based gene regulatory network construction and dynamic differential analysis method
  • RNN-based gene regulatory network construction and dynamic differential analysis method

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Embodiment Construction

[0069] The present invention will be further described below in conjunction with the drawings.

[0070] Reference Figure 1 ~ Figure 4 , An RNN-based gene regulation network construction and dynamic difference analysis method, which analyzes the difference in gene regulation between the same cancer subtype and different cancer subtypes, and aims at the highly non-linear correlation between cancer genes in the expression data, based on deep circulatory nerves The network (deep recurrent neural network, deepRNN) constructs a regulatory network for the gene expression data of different cancer subtypes under continuous time series changes after medication, and analyzes the expression differences between the subtypes;

[0071] Such as figure 1 As shown, first of all, at t 0 The cancer samples at the moment are clustered into three subtypes, C1, C2, and C3, and the remaining three black dots represent strange samples. For C1 clusters, the regulation network based on deepRNN is construc...

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Abstract

An RNN-based gene regulatory network construction and dynamic differential analysis method comprises the first step of gene dynamic regulation network construction based on a deepRNN, the second step of time-sequence variation and evolution analysis based on an intra-subtype dynamic regulation network, and the third step of network differential evolution analysis based on an inter-subtype dynamic regulation network, wherein the evolution analysis of different subtype networks comprises kinetic analysis, differential analysis and perturbation analysis. The RNN-based gene regulatory network construction and dynamic differentiation analysis method is high in precision.

Description

Technical field [0001] The invention relates to an RNN-based gene regulation network construction and dynamic difference analysis method. Background technique [0002] The modeling and evolution analysis of gene regulatory networks can well mine the deep information in gene expression data, which is an important field and key issue of current bioinformatics research. Since the 1990s, with the development of gene chip technology and the rise of next-generation sequencing technology, the research on gene regulatory network modeling has made great progress. [0003] Gene regulatory network modeling mainly infers the regulatory relationships in the network based on gene expression data, and expresses it as a topological structure, which belongs to the reverse engineering research that relies on data mining. To construct a gene regulatory network, you first need to determine the network model, and then select the appropriate modeling algorithm based on the model. Classical network mod...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/12G06F19/24
CPCG16B5/00G16B40/00
Inventor 陈晋音郑海斌熊晖吴洋洋李南应时彦
Owner ZHEJIANG UNIV OF TECH
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