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A high-dimensional and few-samples selection method for genes, signaling pathways and related proteins

A signaling pathway and protein technology, applied in informatics, bioinformatics, and used to analyze two-dimensional or three-dimensional molecular structures, etc., can solve the data that does not take into account the survival data, cannot solve the data of P>>N type, and cannot process Problems such as P>N type data, to achieve the effect of improving accuracy, ensuring stability and accuracy

Active Publication Date: 2017-10-24
苏州畔湖科技有限公司
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Problems solved by technology

[0013] (1) The Cox proportional hazards model can only deal with PN type data;
[0014] (2) The method introduced by Tibshirani cannot solve the data of P>>N type;
[0015] (3) The method introduced by Hong does not take survival data into account

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  • A high-dimensional and few-samples selection method for genes, signaling pathways and related proteins
  • A high-dimensional and few-samples selection method for genes, signaling pathways and related proteins
  • A high-dimensional and few-samples selection method for genes, signaling pathways and related proteins

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Embodiment Construction

[0054] An application program recommendation method and device according to the embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be clear that the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0055] Those skilled in the art should know that the following specific embodiments or specific implementation methods are a series of optimized configurations listed by the present invention to further explain the specific content of the invention, and these configurations can be combined with each other or used in association with each other, unless it is clearly stated in the present invention that some or a specific embodiment or implementation cann...

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Abstract

The invention provides a selecting method for a high-dimension fewer-sample gene, a signal channel and related proteins. The method comprises the following steps: obtaining original genetic expression data associated with GBM survival, and carrying out data filtration on the genetic expression data to obtain GBM pretreated data; establishing a proportional risk model according to the GBM pretreated data, carrying out survival analysis, and screening and selecting the key gene based on the GBM pretreated data and inventory analysis results; carrying out path analysis based on the key gene, and obtaining a GBN signal channel. According to the selecting method provided by the invention, a CoS method, an SIS method and an Lasso method are combined together, so that high-dimension fewer-sample GBM genetic expression data is effectively treated, and accuracy of screening the GBM key gene is greatly improved.

Description

technical field [0001] The invention relates to a method for selecting genes, signal pathways and related proteins with high dimension and few samples, in particular to a method for gene screening, signal pathway selection and protein selection associated with cancer. Background technique [0002] Cancer is an umbrella term for a large group of diseases that have in common the uncontrolled proliferation of cells. In recent years, the incidence of cancer is increasing, and the number of deaths caused by cancer in the world is 1 / 8 of the number of deaths caused by various diseases. Among the many cancer diseases, glioblastoma multiforme (GBM) is a type of glioma, the most common and deadly type of brain tumor; it often infiltrates adjacent tissues and has many variable without a defined range. This type of brain tumor is highly invasive, can metastasize widely, and mix with healthy brain tissue, making surgical removal of the tumor without serious consequences nearly impossi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/20G06F19/16G06F19/24
CPCG16B15/00G16B25/00G16B40/00
Inventor 章乐李婷婷胡南何小玉
Owner 苏州畔湖科技有限公司
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