The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Dec. 05, 2023
Filed:
Feb. 22, 2022
Nantong University, Nantong, CN;
Weiping Ding, Nantong, CN;
Yu Geng, Nantong, CN;
Jialu Ding, Nantong, CN;
Hengrong Ju, Nantong, CN;
Jiashuang Huang, Nantong, CN;
Chun Cheng, Nantong, CN;
Ying Sun, Nantong, CN;
Yi Zhang, Nantong, CN;
Ming Li, Nantong, CN;
Tingzhen Qin, Nantong, CN;
Xinjie Shen, Nantong, CN;
Haipeng Wang, Nantong, CN;
NANTONG UNIVERSITY, Nantong, CN;
Abstract
A method for classifying multi-granularity breast cancer genes based on a double self-adaptive neighborhood radius includes large-scale gene locus data are read and normalized, and a data analysis is performed on the large-scale gene loci. An optimum value K is selected by adopting a combination of contour coefficients and a PCA dimensionality reduction visualization, and a model of information granulation is adjusted. A heuristic reduction algorithm is used to implement a multi-granularity attribute reduction of a self-adaptive neighborhood radius based on a cluster center distance and a multi-granularity attribute reduction of a neighborhood radius based on an attribute inclusion degree, and big data for breast cancer genes are classified and predicted by adopting a machine learning classification algorithm based on a SVM support vector machine.