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Consensus ranks for the three methods (enrichment, ACE, and random forest).

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Figshare2021-02-08 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Consensus_ranks_for_the_three_methods_enrichment_ACE_and_random_forest_/13763766
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The columns contain the consensus rank (’Rank’), feature type (’Feature_Type’; DeepEC or Pfam), feature ID (’Feature’), feature name (’Name’), mean feature count in CBB-negative genomes (’mean_Negative’), mean feature count in CBB-positive genomes (’mean_Positive’), weighted average correlation coefficient coefficient in subtrees of the ACE analysis (‘weighted_r’; see Materials and methods for details), average feature importance for 100 random forests (’Importance’), feature description (’Description’; the DESC line from the Pfam HMM database, or the full list of enzyme names from KEGG for DeepEC), and the KEGG EC of the entry (’KEGG_EC’). Note that some DeepEC ECs were transferred to one or more new ECs in KEGG, as indicated by a discrepancy between ’Feature’ (if ’Feature_Type’ is DeepEC) and ’KEGG_EC’. A single feature can therefore be listed more than once. (XLSX)
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2021-02-08
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