Selected article for: "PCA principal component analysis and principal component"
Author: Zheng Zhang; Sifan Ye; Aiping Wu; Taijiao Jiang; Yousong Peng
Title: Prediction of receptorome for human-infecting virome
  • Document date: 2020_2_28
    • ID: 9ruhvpbv_15
    Snippet: Because there were strong correlations between the expressions of genes in different tissues, the principal component analysis (PCA) method was used to reduce the correlations with the function of PCA in the package scikit-learn (version 0.21.3) (Pedregosa et al., 2011) in Python (version 3.6.7). Only the first principal component was used to measure the expression level of human genes, which explained 95% of the author/funder. All rights reserve.....
    Document: Because there were strong correlations between the expressions of genes in different tissues, the principal component analysis (PCA) method was used to reduce the correlations with the function of PCA in the package scikit-learn (version 0.21.3) (Pedregosa et al., 2011) in Python (version 3.6.7). Only the first principal component was used to measure the expression level of human genes, which explained 95% of the author/funder. All rights reserved. No reuse allowed without permission.

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