Gene regulation and control network inference method combining sparse regression and elimination rule
A gene regulatory network and sparse regression technology, applied in the fields of instruments, biological systems, biostatistics, etc., can solve problems such as slow running speed, high computational complexity, identification of disease-causing genes and failure to provide a gene regulatory network, etc.
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[0026] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0027] The present invention provides a gene regulatory network inference method combining sparse regression and elimination rules, such as figure 1 Shown, is the overall flowchart of the present invention; Comprise the following steps:
[0028] S1: Read gene expression data; according to the interaction relationship between genes, each gene...
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