Task ID: {{ data['task_run']['task_id'] }} TaskRun ID:{{ data['task_run']['id'] }} - {{ data['task_run']['saved_query']['name'] }} {% if 'n_samples' in data.keys() %}

Summary stats

Number of samples Min Y Max Y Number of analysed metabolites Number of significant metabolites Min significant p(FDR) Max significant p(FDR) Mean significant p(FDR)
{{ data['n_samples'] }} {{ data['min_y'] }} {{ data['max_y'] }} {{ data['n_features'] }} {{ data['n_significant_features'] }} {{ data['min_significant_pvalue'] }} {{ data['max_significant_pvalue'] }} {{ data['mean_significant_pvalue'] }}
{% endif %} {% if 'unique_kegg_ids_escaped' in data.keys() %}

{% endif %}

Hide insignificant metabolites

{% for index,row in data['mwas_table'].items() %} {# if 'estimates' in row.keys() #} {% set estimate = row['estimates'] | float %} {% set adjusted_pvalue = row['adjusted_pvalues'] | float %} 0.05 %} class='bg-active' {% elif estimate < 0 %} class='bg-primary' {% else %} class="bg-danger" {% endif %}> {% if 'saved_query_id' in row.keys() and 'saved_query_name' in row.keys() %} {% else %} {% endif %} {# endif #} {% endfor %}
ID Saved Query Assay Annotation Method CPD ID CPD Name Estimate P-value Adjusted P-Value Sign adjusted Log10(Adjusted P-Value) AIC KEGG
{{ row['harmonised_annotation_id'] }}{{ row['saved_query_name'] }}{{ row['assay'] }} {{ row['annotation_method'] }} {{ row['cpd_id'] }} {{ row['cpd_name'] }} {{ row['estimates_str'] }} {{ row['pvalues_str'] }} {{ row['adjusted_pvalues_str'] }} {{ row['log_adjusted_pvalues_str'] }} {{ row['aic_str'] }} {{ row['kegg_ids'] }}