Cancer cell line therapeutic drug prediction method based on multidimensional network
A cancer cell and prediction method technology, which is applied in the field of cancer cell line therapeutic drug prediction and cancer response to drug prediction experiments, can solve the problems that the accuracy of prediction results needs to be improved, and achieve the effect of improving accuracy and reducing the influence of noise
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[0032] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0033] refer to figure 1 , The implementation steps of this example are as follows:
[0034] Step 1, download the data of cancer cell lines and build a cancer cell line similarity network:
[0035] 1a) Construction of cancer cell line gene expression similarity network
[0036] 1a1) This example downloads the gene expression value data of 955 cancer cell lines from the GDSC database, and obtains the gene expression matrix M exp , gene expression matrix M exp There are 955 rows and 17738 columns, where rows represent cancer cell lines and columns represent genes;
[0037] 1a2) From the gene expression matrix M exp The i-th line in gets the gene expression feature vector of the i-th cancer cell line: Where, i=1,2,3,...,955;
[0038] 1a3) From the gene expression matrix M exp The jth line in gets the gene expression feature ve...
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