Additional file 3 of Data- and expert-driven rule induction and filtering framework for functional interpretation and description of gene sets
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https://springernature.figshare.com/articles/dataset/Additional_file_3_of_Data-_and_expert-driven_rule_induction_and_filtering_framework_for_functional_interpretation_and_description_of_gene_sets/5147644
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Rule network sets that were generated as a result of this analysis. This excel file includes rule network sets that were generated as a result of this analysis. Each tab of the Excel file represents different rule set: set S01 represents results for the RuleGO method without filtering procedure applied, set S02 is a standard method with applied filtering, set S03 applies filtering using UTA approach, and set S04 proposes a new approach that allows the user to control the process of logical rule generation by providing a set of seed terms. For the set S04, we provide six rule sets obtained with different sets of quality assessment and filtering parameters as presented in Table 2. Each row represents a single rule, and GO terms from the expert set (seed terms) are denoted with star (*). Also for sets S02, S03, and S04 seed terms are marked with bold font. For each rule, we also provide the number of genes supported and recognized by the rule, its precision, coverage, value of the QCompound measure, p-value, and the list of genes supported by that rule. (XLSX 257 kb)
提供机构:
Figshare
创建时间:
2017-06-27



