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Correlation (quantified by Pearson correlation coefficient) of eigenvectors from Principal Component Analysis (PCA) at different time intervals of hESC development with eigenvectors of 0–10 hour mESC development.

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Figshare2015-12-03 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Correlation_quantified_by_Pearson_correlation_coefficient_of_eigenvectors_from_Principal_Component_Analysis_PCA_at_different_time_intervals_of_hESC_development_with_eigenvectors_of_0_8211_10_hour_mESC_development_/1578669
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For correlating eigenvectors we interpolated expression values in both cases to 11 equidistant points, concatenated 2 sets of profiles and performed PCA. Then the 22-point eigenvectors were split onto 2 parts, corresponding to mESC and hESC points, and compared. The first 2 eigenvectors were semi quantitatively similar; therefore eigenvector 1 was also compared to eigenvector 2.Correlation (quantified by Pearson correlation coefficient) of eigenvectors from Principal Component Analysis (PCA) at different time intervals of hESC development with eigenvectors of 0–10 hour mESC development.
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2015-12-03
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