Additional file 2 of Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer
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https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Explaining_decisions_of_graph_convolutional_neural_networks_patient-specific_molecular_subnetworks_responsible_for_metastasis_prediction_in_breast_cancer/14205242/1
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Additional file 2 Worksheet Subnetwork genes 8 samples provides identifiers and gene symbols of 167 subnetwork genes, in how many and in which samples they were selected. Worksheet Gene module enrichment presents results of Fisher test calculations comparing subnetwork gene sets to gene modules and DE gene sets. Each row contains data for a DE gene set or a gene module consisting of the total group size and column tripletts with p-value, adjusted p-value as well as the number of hits, respectively, observed in comparisons to the union of genes from 8 subnetworks, the set of genes occurring in the majority, the set of genes found in all of the subnetworks and each of the 8 samples. Highlighted are rows corresponding to green and turquoise gene modules, which were most often significantly associated with subnetwork gene sets (grey), adjusted p-values below 0.05 (red) and between 0.05 and 0.1 (yellow).
提供机构:
Hryhorii Chereda; Annalen Bleckmann
创建时间:
2021-03-12



