{% if data['table_key'] == 'filtered_table' %}

Summary stats

{% for task_run_id, summary in data['mwas_summary'].items() %} {% endfor %}
SavedQuery Task ID TaskRun Number of samples Min Y Max Y Number of analysed metabolites Number of significant metabolites Number of significant only in this cohort Min significant p(FDR) Max significant p(FDR) Mean significant p(FDR)
{{ data['saved_query_names'][data['saved_query_map'][task_run_id]] }} {{ data['task_id_map'][task_run_id] }} {{ task_run_id }} {{ summary['n_samples'] }} {{ summary['min_y'] }} {{ summary['max_y'] }} {{ summary['n_features'] }} {{ summary['n_significant_features'] }} {% if summary['n_sig_only_in_this_cohort'] %}summary['n_sig_only_in_this_cohort']{% else %}NA{% endif %} {{ summary['min_significant_pvalue'] }} {{ summary['max_significant_pvalue'] }} {{ summary['mean_significant_pvalue'] }}

{{ data['n_consistent_features'] }} metabolites consistent across MWAS sets (p < 0.05)

{% else %}

All metabolites

Hide insignificant metabolites

{% endif %} {% if data[data['table_key']] %} {% for task_run_id in data.task_run_ids %} {% endfor %} {% for index,row in data[data['table_key']].items() %} {% for task_run_id in data.task_run_ids %} {% if not row['tr_' + task_run_id + '_estimates'] %} {% set estimate = None %} {% else %} {% set estimate = row['tr_' + task_run_id + '_estimates'] | float %} {% endif %} {% endfor %} {% endfor %}
ID CPD ID CPD Name{{ task_run_id }} Estimate {{ task_run_id }} P-Value {{ task_run_id }} p(FDR) {{ task_run_id }} AIC
{{ row['harmonised_annotation_id'] }} {{ row['cpd_id'] }} {{ row['cpd_name'] }}{{ row['tr_' + task_run_id + '_estimates_str'] }} {{ row['tr_' + task_run_id + '_pvalues_str'] }} {{ row['tr_' + task_run_id + '_adjusted_pvalues_str'] }} {{ row['tr_' + task_run_id + '_aic_str'] }}
{% else %} There are no consistently found significant metabolites! {% endif %}