Invention Grant
- Patent Title: Systems and methods for detecting the presence of a biological status using clustering
- Patent Title (中): 使用聚类检测生物状态存在的系统和方法
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Application No.: US12944992Application Date: 2010-11-12
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Publication No.: US08442924B2Publication Date: 2013-05-14
- Inventor: Jiuliu Lu , Zihua Wang , Antonio Arevalo Reyes , Erik Alan Gustafson , John Steven Riley
- Applicant: Jiuliu Lu , Zihua Wang , Antonio Arevalo Reyes , Erik Alan Gustafson , John Steven Riley
- Applicant Address: US CA Brea
- Assignee: Beckman Coulter, Inc.
- Current Assignee: Beckman Coulter, Inc.
- Current Assignee Address: US CA Brea
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06F15/18
- IPC: G06F15/18

Abstract:
A method for determining the presence of a biological entity. The method may include entering into a digital computer, at least a plurality of first input values associated with a first genetic element (e.g., mecA), a plurality of second input values associated with a second genetic element (femA), and a plurality of third input values associated with a third genetic element (e.g., orfX) associated with a plurality of samples. Each sample includes a first input value in the plurality of first input values, a second input value in the plurality of second input values, and a third input value in the plurality of third input values. The method also includes determining a threshold value associated with the third genetic element, separating the samples using the threshold value into a first set of samples and a second set of samples, clustering the first set of samples in a feature space defined by the first genetic element and the second genetic element, defining a first boundary space using the first set of samples, and defining a second boundary space using the second set of samples. The first and second boundary spaces differentiate a biological entity from other biological statuses. Other embodiments may also include the use of a genetic element such as SCCmec.
Public/Granted literature
- US20110131159A1 SYSTEMS AND METHODS FOR DETECTING THE PRESENCE OF A BIOLOGICAL STATUS USING CLUSTERING Public/Granted day:2011-06-02
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