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Return the tidy association table from a microbe_metabolite_association object.

Usage

extract_association_result(object)

Arguments

object

A microbe_metabolite_association object.

Value

A data.frame.

Examples

data("demo_crossomics", package = "microbiomedataset")

x <- calculate_correlation(
  microbiome_data = demo_crossomics$microbiome_data,
  metabolome_data = demo_crossomics$metabolome_data,
  sample_link = demo_crossomics$sample_link,
  metabolome_transform = "none"
)
head(extract_association_result(x))
#>    taxon_id      metabolite_id    estimate     p_value n_samples   q_value
#> 1 Blautia_A         CADAVERINE  0.07958667 0.625433219        40 0.9442916
#> 2 Blautia_A  _1_METHYLXANTHINE  0.44323514 0.004177719        40 0.5576252
#> 3 Blautia_A             DHEA_S  0.11069418 0.495156030        40 0.9377717
#> 4 Blautia_A       GLYCOCHOLATE  0.15214231 0.348660063        40 0.9252912
#> 5 Blautia_A           PIPERINE  0.10520883 0.518217055        40 0.9405171
#> 6 Blautia_A _4_ACETAMIDOPHENOL -0.11765810 0.469645524        40 0.9309772
#>   direction taxonomic_rank   method
#> 1  positive          Genus spearman
#> 2  positive          Genus spearman
#> 3  positive          Genus spearman
#> 4  positive          Genus spearman
#> 5  positive          Genus spearman
#> 6  negative          Genus spearman
#>                                                                            lineage_microbiome
#> 1 d__Bacteria;p__Firmicutes_A;c__Clostridia;o__Lachnospirales;f__Lachnospiraceae;g__Blautia_A
#> 2 d__Bacteria;p__Firmicutes_A;c__Clostridia;o__Lachnospirales;f__Lachnospiraceae;g__Blautia_A
#> 3 d__Bacteria;p__Firmicutes_A;c__Clostridia;o__Lachnospirales;f__Lachnospiraceae;g__Blautia_A
#> 4 d__Bacteria;p__Firmicutes_A;c__Clostridia;o__Lachnospirales;f__Lachnospiraceae;g__Blautia_A
#> 5 d__Bacteria;p__Firmicutes_A;c__Clostridia;o__Lachnospirales;f__Lachnospiraceae;g__Blautia_A
#> 6 d__Bacteria;p__Firmicutes_A;c__Clostridia;o__Lachnospirales;f__Lachnospiraceae;g__Blautia_A
#>   Kingdom_microbiome Phylum_microbiome Class_microbiome Order_microbiome
#> 1           Bacteria      Firmicutes_A       Clostridia   Lachnospirales
#> 2           Bacteria      Firmicutes_A       Clostridia   Lachnospirales
#> 3           Bacteria      Firmicutes_A       Clostridia   Lachnospirales
#> 4           Bacteria      Firmicutes_A       Clostridia   Lachnospirales
#> 5           Bacteria      Firmicutes_A       Clostridia   Lachnospirales
#> 6           Bacteria      Firmicutes_A       Clostridia   Lachnospirales
#>   Family_microbiome Genus_microbiome Species_microbiome source_study_microbiome
#> 1   Lachnospiraceae        Blautia_A               <NA>          SINHA_CRC_2016
#> 2   Lachnospiraceae        Blautia_A               <NA>          SINHA_CRC_2016
#> 3   Lachnospiraceae        Blautia_A               <NA>          SINHA_CRC_2016
#> 4   Lachnospiraceae        Blautia_A               <NA>          SINHA_CRC_2016
#> 5   Lachnospiraceae        Blautia_A               <NA>          SINHA_CRC_2016
#> 6   Lachnospiraceae        Blautia_A               <NA>          SINHA_CRC_2016
#>   source_study_metabolome compound_name_annotation hmdb_id_annotation
#> 1          SINHA_CRC_2016               CADAVERINE        HMDB0002322
#> 2          SINHA_CRC_2016        _1_METHYLXANTHINE        HMDB0010738
#> 3          SINHA_CRC_2016                   DHEA_S        HMDB0001032
#> 4          SINHA_CRC_2016             GLYCOCHOLATE        HMDB0000138
#> 5          SINHA_CRC_2016                 PIPERINE        HMDB0029377
#> 6          SINHA_CRC_2016       _4_ACETAMIDOPHENOL        HMDB0001859
#>   kegg_id_annotation annotation_level_annotation source_study_annotation
#> 1             C01672             high_confidence          SINHA_CRC_2016
#> 2               <NA>             high_confidence          SINHA_CRC_2016
#> 3             C04555             high_confidence          SINHA_CRC_2016
#> 4             C01921             high_confidence          SINHA_CRC_2016
#> 5             C03882             high_confidence          SINHA_CRC_2016
#> 6               <NA>             high_confidence          SINHA_CRC_2016
#>   pathway_id_annotation pathway_name_annotation
#> 1                  <NA>                    <NA>
#> 2                  <NA>                    <NA>
#> 3                  <NA>                    <NA>
#> 4                  <NA>                    <NA>
#> 5                  <NA>                    <NA>
#> 6                  <NA>                    <NA>