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Additional file 2 of Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease

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DataCite Commons2022-03-25 更新2024-07-29 收录
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https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Protein_interaction_networks_provide_insight_into_fetal_origins_of_chronic_obstructive_pulmonary_disease/19418527
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Additional file 2: Table S1. PropertiesDifferentPPIs: Properties of the different networks: We list here the properties of the networks we used for our analysis, where the HumanNet-FN was used for the main analysis. The networks are ordered by their size of the largest connected component. Network: Name of the network. Nodes: Number nodes in the network. Edges: Number of edges in the network. LCC Nodes: Number of nodes in the largest connected component of the network. LCC Edges: Number of edges in the largest connected component of the network. Website: website, where we downloaded the network (clickable). ConnectivityModulesInPPIs: Connectivity of modules in other PPIs: Using the genes of fetal lung methylation module and the two COPD modules we evaluatedconnectivity of the modules in the other PPIs. Network: The name ofnetwork. Fetal lung (50): The 50 genes of the fetal lung disease module were used for the analysis. COPD Meth (37): The 37 genes of the COPD methylation module were used for the analysis. COPD DE (64): The 64 genes of the COPD expression module were used for the analysis. LCC: The number of genes in the largest connected component (LCC) given by the genes ofdisease module. z-score: The z-score of the LCC in the network computed using the same number of nodes as in the disease modules randomly chosen from the network, where the degrees of the nodes were preserved. For example in the network BioGrid 32 genes of the fetal lung disease module (of sizeform a LCC. Thus 18 genes are not connected to this component. Note that HumanNet is the network where we computed the original modules.
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figshare
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2022-03-25
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