P-values and frequency trajectories around significant SNPs. حسب Adam G. Fine (21763286)

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Results for the ASIP locus under different selection modes. حسب Adam G. Fine (21763286)

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Strip plots of inferred against true s for data-matched simulations. حسب Adam G. Fine (21763286)

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Frequency trajectory and evidence for non-neutrality at the ASIP locus. حسب Adam G. Fine (21763286)

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Manhattan plot of additive p-values. حسب Adam G. Fine (21763286)

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Genomic regions identified as significant under <i>additive</i> selection. حسب Adam G. Fine (21763286)

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Estimating the effective population size . حسب Adam G. Fine (21763286)

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Inference using incorrect selection mode. حسب Adam G. Fine (21763286)

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HMM to infer selection. حسب Adam G. Fine (21763286)

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Strip plots of inferred against true s. حسب Adam G. Fine (21763286)

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Confusion matrix when inferring the mode of selection. حسب Adam G. Fine (21763286)

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Two-dimensional space of general diploid selection. حسب Adam G. Fine (21763286)

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Accuracy of inference from simulated data. حسب Adam G. Fine (21763286)

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Manhattan plot of raw p-values at the LCT locus. حسب Adam G. Fine (21763286)

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Boxplots for different parameter ranges. حسب Adam G. Fine (21763286)

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Confusion matrix for the procedure to infer selection mode applied to data-matched simulations. حسب Adam G. Fine (21763286)

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Accuracy of inference from data-matched simulations. حسب Adam G. Fine (21763286)

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Data Sheet 1_Network analysis of chronic disease among middle-aged and older adults in China: a nationwide survey.csv حسب Chen Chen (6544)

"…The IsingFit model was used to build the chronic disease co-morbidity network, where nodes represented diseases and edges reflected conditionally independent partial correlations. Community detection identified groups of closely related diseases using the Louvain algorithm. …"

Table 2_Network analysis of chronic disease among middle-aged and older adults in China: a nationwide survey.xlsx حسب Chen Chen (6544)

"…The IsingFit model was used to build the chronic disease co-morbidity network, where nodes represented diseases and edges reflected conditionally independent partial correlations. Community detection identified groups of closely related diseases using the Louvain algorithm. …"

Table 1_Network analysis of chronic disease among middle-aged and older adults in China: a nationwide survey.docx حسب Chen Chen (6544)

"…The IsingFit model was used to build the chronic disease co-morbidity network, where nodes represented diseases and edges reflected conditionally independent partial correlations. Community detection identified groups of closely related diseases using the Louvain algorithm. …"