- Patent Title: Method for reducing noise level of data set for a target analyte
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Application No.: US16075192Application Date: 2017-02-03
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Publication No.: US10978173B2Publication Date: 2021-04-13
- Inventor: Jong Yoon Chun , Young Jo Lee , Han Bit Lee
- Applicant: SEEGENE, INC.
- Applicant Address: KR Seoul
- Assignee: SEEGENE, INC.
- Current Assignee: SEEGENE, INC.
- Current Assignee Address: KR Seoul
- Agency: Harness, Dickey & Pierce, P.L.C.
- Priority: KR10-2016-0014623 20160205
- International Application: PCT/KR2017/001222 WO 20170203
- International Announcement: WO2017/135756 WO 20170810
- Main IPC: G06F17/15
- IPC: G06F17/15 ; G16B25/20 ; C12Q1/686 ; G16B20/20 ; C12Q1/6851 ; G16B40/10
Abstract:
The present invention relates to a method for reducing a noise level of a data set for a target analyte in a sample. The present invention can reduce a noise level of a data set to a proper level conveniently by applying a noise-reduction ratio to the data set thereby the possibility of false positive may be reduced effectively. According to the present invention, the calibrated data set is obtained by using the noise-reduction ratio, so that the noise level of a data set is reduced without change of signal ratio between the data point in the data set.
Public/Granted literature
- US20190122748A1 METHOD FOR REDUCING NOISE LEVEL OF DATA SET FOR A TARGET ANALYTE Public/Granted day:2019-04-25
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