Method for extracting biomarker for diagnosing pancreatic cancer, computing device therefor, biomarker for diagnosing pancreatic cancer and device for diagnosing pancreatic cancer including the same
A biomarker and pancreatic cancer technology, applied in biochemical equipment and methods, biostatistics, microbial measurement/testing, etc., can solve problems such as low sensitivity and specificity, lack of tissue specificity, and low practical diagnostic applicability , to achieve high specificity and high sensitivity
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Embodiment 1
[0085] Example 1. Calculation of correlation-based weights
[0086] The computing device 100 of the present invention can obtain correlation coefficients related to expression patterns of specific miRNAs and specific genes obtained through microarray testing, and can predict correlation coefficients between similar miRNAs similar to specific miRNAs and specific genes. Calculation of the correlation coefficient between similar miRNAs and specific genes will be described in detail with reference to the drawings described later.
[0087] Figure 4 is a conceptual diagram illustrating a method of calculating a correlation coefficient between similar miRNAs and specific genes using a similarity database, Figure 5 is a flowchart illustrating a method of calculating a correlation coefficient between similar miRNAs and specific genes using a similarity database.
[0088] First, after inputting experimental data including gene expression profiles and miRNA expression profiles obta...
Embodiment 2
[0093] Example 2. Calculation of correlations considering the interaction between miRNAs
[0094] The calculation device 100 of the present invention can calculate a correlation coefficient between a specific gene and adjacent miRNAs that form a cluster with a specific miRNA. From the description given below with reference to the accompanying drawings, it can be understood that the correlation calculation considering the mutual influence between miRNAs.
[0095] Image 6 is a conceptual diagram illustrating the method of calculating the correlation coefficient between adjacent miRNAs and specific genes using the miRNA clustering database, Figure 7 is a flowchart illustrating a method for calculating weights between adjacent miRNAs and specific genes using the miRNA clustering database.
[0096] First, after inputting experimental data including gene expression profiles and miRNA expression profiles obtained through microarray testing (S710), the control unit 140 calculate...
Embodiment 3
[0099] Example 3. Calculation of correlations taking transcription factors into account
[0100] The calculation device 100 of the present invention calculates a correlation coefficient in consideration of transcription factors between genes. Calculation of the correlation coefficient considering transcription factors between genes will be described with reference to the drawings given later.
[0101] Figure 8 is a conceptual diagram illustrating a method of calculating a correlation coefficient between a specific miRNA and a transcriptional regulatory gene using a transcription factor database, Figure 9 is a flowchart illustrating a method for calculating weights between specific miRNAs and transcriptional regulatory genes using the transcription factor database.
[0102] First, after inputting experimental data including gene expression profiles and miRNA expression profiles obtained through microarray testing (S910), the control unit 140 may calculate correlations bet...
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