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Dynamic network biomarker detection device, detection method, and detection program NEW

外国特許コード F170008992
整理番号 EF001P03WO
掲載日 2017年3月14日
出願国 大韓民国
出願番号 20157010816
公報番号 20150079641
出願日 平成25年2月12日(2013.2.12)
公報発行日 平成27年7月8日(2015.7.8)
国際出願番号 JP2013053188
国際公開番号 WO2014050160
国際出願日 平成25年2月12日(2013.2.12)
国際公開日 平成26年4月3日(2014.4.3)
優先権データ
  • 特願2012-211921 (2012.9.26) JP
  • 2013WO-JP53188 (2013.2.12) WO
発明の名称 (英語) Dynamic network biomarker detection device, detection method, and detection program NEW
発明の概要(英語) (KR20150079641)
The present invention provides a device, method, and program for detection of a biomarker candidate that may be used in a diagnosis of a pre-disease state indicating a transition from a healthy state to a disease state.
Biological samples are collected from a subject to be measured at different times.
Statistical data is obtained by aggregating measurement data obtained in measurement on collected biological samples.
Thereafter, a process of obtaining high-throughput data (s1), a process of choosing differential biological molecules (s2), a process of clustering (s3), a process of choosing a DNB candidate (s4), and a process of identifying a DNB by significance analysis (s5) are carried out.
(From US2015278433 A1)
特許請求の範囲(英語) [claim1]
1. About the organism by a measurement is gotten and about factor item of multiple to monitoring data about under establishing, candidate of the bio marker where becomes the index of condition of the organism which is a measurement target as for under detecting as the detection equipment,
To interrelation of time series change of respectively monitoring data of minute description each factor item about under establishing factor item of multiple with cluster of multiple as for under classifying with classification means,
From each cluster which classified, to interrelation of time series change of monitoring data between of time series change and each factor item of respectively monitoring data of minute description each factor item about under establishing the cluster which corresponds to the election condition which is set in advance as for under electing with election means,
The factor item which is included in the cluster which elected as candidate of the bio marker as for under detecting detection means
As for under including the detection equipment thing with feature.
[claim2]
2. There is in a 1st claim,
Minute description election means,
Mean value of the price which shows the correlation of monitoring data between of cluster underwear each factor item as first index as for under producing with means,
With monitoring data of cluster underwear factor item monitoring data of factor item of the minute description cluster outside mean value of the price which shows a correlation as second index the low of producing with means,
About cluster underwear each factor item mean value of standard deviation of monitoring data as 3rd index as for under producing means
Includes,
From in cluster of multiple, to first index, second index and 3rd index about under establishing, the factor item which should do with the bio marker as for under including cluster as for under electing the detection equipment thing with feature.
[claim3]
3. There is in a second claim,
Minute description election means, the cluster where the general index which established to product with calendar of minute description first index and minute description second index and minute description 3rd index is the maximum as for under selecting the detection equipment thing with feature.
[claim4]
4. The second claim or there is in a 3rd claim,
The respectively monitoring data of minute description each factor item, has consideration and are changing contempt, whether or not the low of black dipper Wren [syel] includes a black means more,
Minute description classification means, is consideration in contempt change, about the factor item which is approved as for under classifying the detection equipment thing with feature.
[claim5]
5. There is in a fourth claim,
Minute description dipper Wren [syel] black means, every monitoring data and factor item and time series of each factor item to comparative result with the reference data which is set in advance about under establishing, consideration refers does a black the detection equipment the fact that with feature.
[claim6]
6. There is in a fifth claim,
About each factor item, the low of confronting the reference higher officer price which shows the mean value of the price which shows the correlation between of the reference standard deviation which shows the mean value of standard deviation of reference data and factor item as for under producing includes a means more,
Minute description detection means, the minute description first index compares to minute description reference standard deviation and to have consideration, augment, the minute description second index compares for minute description reference higher officer price and has consideration, reduces and, also, the minute description 3rd index compares to minute description reference standard deviation, has in the case which augments consideration, the item which is included in minute description cluster as candidate of the bio marker as for under detecting the detection equipment thing with feature.
[claim7]
7. The 1st claim to there is in which one claim in the 6th claim,
Minute description detection means,
Consideration of factor item of multiple which is included in cluster, about under establishing the low of black includes a means in statistical price of monitoring data,
In the case which has consideration, the item which is included in cluster as candidate of the bio marker as for under detecting the detection equipment thing with feature.
[claim8]
8. The 1st claim to there is in which one claim in the 7th claim,
Which one in factor item of minute description multiple is gotten, about the gene about measurement item and the protein about measurement item and the metabolite measurement item, or from the organism about the burn is a measurement item the detection equipment the fact that with feature.
[claim9]
9. About the organism by a measurement is gotten and about factor item of multiple to monitoring data about under establishing, candidate of the bio marker where becomes the index of condition of the organism which is a measurement target as for under detecting as the detection method which used the detection equipment,
As for minute description detection equipment,
To interrelation of time series change of respectively monitoring data of minute description each factor item about under establishing factor item of multiple with cluster of multiple as for under classifying classification phase and,
From each cluster which classified, to interrelation of time series change of monitoring data between of time series change and each factor item of respectively monitoring data of minute description each factor item about under establishing millimeter the cluster which corresponds to the election condition which is set as for under electing election phase and,
The factor item which is included in the cluster which elected as candidate of the bio marker as for under detecting detection phase as for under executing the detection method thing with feature.
[claim10]
10. About the organism by a measurement is gotten and about factor item of multiple to monitoring data about under establishing, candidate of the bio marker where becomes the index of condition of the organism which is a measurement target as for under detecting as detection method,
From in the high throughput data which the organism sample of the multiple which picked from hour piece which differed measured from respectively, dipper Wren [syel] the biomolecule as for under producing element screening phase and,
The higher officer is high among in order biomolecule with one cluster, the minute description dipper which elected from minute description element screening phase Wren [syel] the biomolecule with cluster of multiple as for under classifying cluster phase and,
Is gotten from minute description cluster phase, from in cluster of the multiple, augmentation and the cluster underwear biomolecule of standard deviation of augmentation and the cluster underwear biomolecule of the higher officer between of the cluster underwear biomolecule and reduction of the higher officer between of the biomolecule which is different the most remarkable cluster, as candidate of the minute description bio marker as for under taking first candidate selection stage and,
Candidate of the bio marker which elected from minute description candidate selection stage is the minute description bio marker, whether or not, by a consideration black as for under deciding decision phase
As for under executing the detection method thing with feature.
[claim11]
11. To the computer, about the organism by a measurement is gotten and about factor item of multiple to monitoring data about under establishing, candidate of the bio marker where becomes the index of condition of the organism which is a measurement target as for under detecting control at the time of execution as for height as detection program,
To computer,
To interrelation of time series change of respectively monitoring data of minute description each factor item about under establishing factor item of multiple with cluster of multiple as for under classifying classification phase and,
From each cluster which classified, to interrelation of time series change of monitoring data between of time series change and each factor item of respectively monitoring data of minute description each factor item about under establishing the cluster which corresponds to the election condition which is set in advance as for under electing election phase and,
The factor item which is included in the cluster which elected as candidate of the bio marker as for under detecting detection phase
At the time of execution as for height the detection program thing with feature.
  • 出願人(英語)
  • JAPAN SCIENCE AND TECHNOLOGY AGENCY
  • 発明者(英語)
  • AIHARA KAZUYUKI
  • CHEN LUONAN
  • LIU RUI
  • LIU ZHIPING
  • LI MEIYI
国際特許分類(IPC)
参考情報 (研究プロジェクト等) FIRST Mathematical Theory for Modeling Complex Systems and its Transdisciplinary Applications in Science and Technology AREA
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