Method for extracting significant signal, recording medium and program

1. A method for extracting a signal of interest from a signal generated from at least one subject, comprising the steps of:

(A) obtaining a time-series signal generated from the subject as a data group consisting of a plurality of pieces of data;

(B) obtaining a plurality of extracted data groups from the data group, wherein each extracted data group comprises a predetermined number of pieces of data selected from the data group;

(C) calculating standard deviations of the plurality of extracted data groups to obtain a standard deviation group; and

(D) referencing each standard deviation included in the standard deviation group and selecting the signal of interest,

wherein the referencing in the step (D) is to divide the standard deviations into a plurality of classes having a predetermined width of standard deviation as a unit, plot each standard deviation on a coordinate system having an axis representing the class and another axis representing the number of the standard deviations present in each class, approximate a resultant graph to a normal distribution, and calculate an average, half-width and variance, or standard deviation of the resultant normal distribution.

2. A method for extracting a signal of interest from a signal generated from at least one subject, comprising the steps of:

(A) obtaining a time-series signal generated from the subject as a data group consisting of a plurality of pieces of data;

(B) obtaining a plurality of extracted data groups from the data group, wherein each extracted data group comprises a predetermined number of pieces of data selected from the data group;

(C) calculating standard deviations of the plurality of extracted data groups to obtain a standard deviation group; and

(D) referencing each standard deviation included in the standard deviation group and selecting the signal of interest,

further comprising performing the steps (B) to (C) a plurality of times while changing the number of pieces of data included in the extracted data group.

3. A method according to claim 2 wherein the referencing in the step (D) is to calculate an average of the standard deviations included in the standard deviation group.

4. A method according to claim 1 , further comprising performing the steps (B) to (D) a plurality of times while changing the number of pieces of data included in the extracted data group and the width of the class, wherein the signal of interest is selected from averages, half-widths and variances or standard deviations of a plurality of resultant normal distributions.

5. A method according to claim 2 , wherein the signal of interest is extracted from signals generated from a plurality of subjects, and after the step (A), the method further comprises adding up a data group obtained for each of the plurality of subjects.

6. A method according to claim 2 , wherein the signal of interest is extracted from signals generated from a plurality of subjects, and after the step (A), the method further comprises subtracting a data group obtained for each of the plurality of subjects.

7. A method according to claim 2 , wherein the signal of interest is extracted from signals generated from a plurality of subjects, and before the step (A), the method further comprises simultaneously stimulating each of the plurality of subjects.

8. A method for extracting a signal of interest from a signal generated from at least one subject, comprising the steps of:

(A) obtaining a time-series signal generated from the subject as a data group consisting of a plurality of pieces of data;

(B) obtaining a plurality of extracted data groups from the data group, wherein each extracted data group comprises a predetermined number of pieces of data selected from the data group;

(C) calculating standard deviations of the plurality of extracted data groups to obtain a standard deviation group; and

(D) referencing each standard deviation included in the standard deviation group and selecting the signal of interest,

wherein the referencing in the step (D) is to divide the standard deviations into a plurality of classes having a predetermined width of standard deviation as a unit, plot each standard deviation on a coordinate system having an axis representing the class and another axis representing the number of the standard deviations present in each class, approximate a resultant graph by curvilinear approximating analysis selected from the group consisting of exponential decreasing analysis, exponential increasing analysis, Gaussian distribution, Lorentz distribution, σ analysis, multiple peak analysis, and nonlinear analysis, and obtain gradients before and after a peak on a resultant approximated curve.

9. A method according to claim 2 , wherein the selection in the step (B) is performed in a time-series manner.

10. A method for extracting a signal of interest from a signal generated from at least one subject, comprising the steps of:

(A) obtaining a time-series signal generated from the subject as a data group consisting of a plurality of pieces of data;

(B) obtaining a plurality of extracted data groups from the data group, wherein each extracted data group comprises a predetermined number of pieces of data selected from the data group;

(C) calculating standard deviations of the plurality of extracted data groups to obtain a standard deviation group; and

(D) referencing each standard deviation included in the standard deviation group and selecting the signal of interest,

wherein the referencing in the step (D) is to calculate an average of the standard deviations included in the standard deviation group, and

the steps (B) to (D) are repeated, the selection in the step (B) is performed in a time-series manner, and the method further comprise selecting a first piece of data in the extracted data group with a predetermined time lag in each repetition and comparing averages of the standard deviation groups obtained in the repetitions.

11. A method according to claim 1 , wherein the steps (B) to (D) are repeated, the selection in the step (B) is performed in a time-series manner, and the method further comprises selecting a first piece of data in the extracted data group with a predetermined time lag in each repetition and comparing averages of normal distributions of the standard deviation groups obtained in the repetitions.

12. A method according to claim 1 , wherein the steps (B) to (D) are repeated, the selection in the step (B) is performed in a time-series manner, and the method further comprises selecting a first piece of data in the extracted data group with a predetermined time lag in each repetition and comparing half-widths, variances or standard deviations of normal distributions of the standard deviation groups obtained in the repetitions.

13. A method for extracting a signal of interest from a signal generated from at least one subject, comprising the steps of:

(A) obtaining a time-series signal generated from the subject as a data group consisting of a plurality of pieces of data;

(B) obtaining a plurality of extracted data groups from the data group, wherein each extracted data group comprises a predetermined number of pieces of data selected from the data group;

(C) calculating standard deviations of the plurality of extracted data groups to obtain a standard deviation group; and

(D) referencing each standard deviation included in the standard deviation group and selecting the signal of interest,

wherein the referencing in the step (D) comprises obtaining a plurality of extracted standard deviation groups from the standard deviation group, each extracted standard deviation group comprising a predetermined number of standard deviations selected from the standard deviation group in a time-series manner, and the method further comprises the steps of:

calculating an average of the predetermined number of standard deviations and a time-series increase rate of the average;

comparing the resultant average of each extracted standard deviation group with a predetermined set value;

identifying a time (a) of generation of a time-series signal corresponding to the standard deviation group having an average greater than or equal to the set value;

identifying a time (b) of generation of a time-series signal corresponding to the standard deviation group having a time-series increase rate of an average of extracted standard deviation group after the time (a) smaller than or equal to the set value; and

obtaining a significant signal based on the generation times (a) and (b).

14. A method for extracting a signal of interest from a signal generated from at least one subject, comprising the steps of:

(A) obtaining a time-series signal generated from the subject as a data ground consisting of a plurality of pieces of data;

(B) obtaining a plurality of extracted data groups from the data group, wherein each extracted data group comprises a predetermined number of pieces of data selected from the data group;

(C) calculating standard deviations of the plurality of extracted data groups to obtain a standard deviation group; and

(D) referencing each standard deviation included in the standard deviation group and selecting the signal of interest.

wherein the subject is a cell, and the signal of interest is a signal associated with activation of an ion channel or a receptor, or actuation of an intracellular signal transduction system.

15. A method for extracting a signal of interest from a signal generated from at least one subject, comprising the steps of:

(A) obtaining a time-series signal generated from the subject as a data group consisting of a plurality of pieces of data;

(B) obtaining a plurality of extracted data groups from the data group, wherein each extracted data group comprises a predetermined number of pieces of data selected from the data group;

(C) calculating standard deviations of the plurality of extracted data groups to obtain a standard deviation group; and

(D) referencing each standard deviation included in the standard deviation group and selecting the signal of interest,

wherein the subject is a cell, the signal of interest is a significant signal generated from the cell responsive to a test chemical substance, and

the step (A) is performed either in the presence of a standard chemical substance having a known action to the cell or in the presence of the test chemical substance, and the method further comprises comparing the average obtained in the presence of the standard chemical substance with the average obtained in the presence of the test chemical substance.

16. A method for extracting a signal of interest from a signal generated from at least one subject, comprising the steps of:

(A) obtaining a time-series signal generated from the subject as a data group consisting of a plurality of pieces of data;

(B) obtaining a plurality of extracted data groups from the data group, wherein each extracted data group comprises a predetermined number of pieces of data selected from the data group;

(C) calculating standard deviations of the plurality of extracted data groups to obtain a standard deviation groups; and

(D) referencing each standard deviation included in the standard deviation group and selecting the signal of interest.

wherein the subject is a cell, the signal of interest is a significant signal generated from the cell responsive to a test chemical substance, and

the step (A) is performed either in the presence of a standard chemical substance having a known action to the cell or in the presence of the standard chemical substance and the test chemical substance, and the method further comprises comparing the average obtained in the presence of the standard chemical substance with the average obtained in the presence of the standard chemical substance and the test chemical substance.

17. A method for extracting a signal of interest from a signal generated from at least one subject comprising the steps of:

(A) obtaining a time-series signal generated from the subject as a data group consisting of a plurality of pieces of data;

(B) obtaining a plurality of extracted data groups from the data group, wherein each extracted data group comprises a predetermined number of pieces of data selected from the data group;

(C) calculating standard deviations of the plurality of extracted data groups to obtain a standard deviation groups; and

(D) referencing each standard deviation included in the standard deviation group and selecting the signal of interest,

wherein the subject is nucleic acid, and the signal of interest is a significant signal associated with formation of double stranded nucleic acid.

18. A computer-readable recording medium storing a program for executing the procedures of:

(A) obtaining a time-series signal generated from the subject as a data group consisting of a plurality of pieces of data;

(B) obtaining a plurality of extracted data groups from the data group, wherein each extracted data group comprises a predetermined number of pieces of data selected from the data group;

(C) calculating standard deviations of the plurality of extracted data groups to obtain a standard deviation group; and

(D) referencing each standard deviation included in the standard deviation group and selecting the signal of interest,

wherein the steps (B) to (C) are performed a plurality of times while changing the number of pieces of data included in the extracted data group.

19. A program for causing a computer to execute the procedures of:

(A) obtaining a time-series signal generated from the subject as a data group consisting of a plurality of pieces of data;

(B) obtaining a plurality of extracted data groups from the data group, wherein each extracted data group comprises a predetermined number of pieces of data selected from the data group;

(C) calculating standard deviations of the plurality of extracted data groups to obtain a standard deviation group; and

(D) referencing each standard deviation included in the standard deviation group and selecting the signal of interest,

wherein the steps (B) to (C) are performed a plurality of times while changing the number of pieces of data included in the extracted data group.