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'] }} |
{% endif %} {% if data[data['table_key']] %}
ID | CPD ID | CPD Name | {% for task_run_id in data.task_run_ids %}{{ task_run_id }} Estimate | {{ task_run_id }} P-Value | {{ task_run_id }} p(FDR) | {{ task_run_id }} AIC | {% endfor %}
---|---|---|---|---|---|---|
{{ row['harmonised_annotation_id'] }} | {{ row['cpd_id'] }} | {{ row['cpd_name'] }} | {% 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 %}{{ 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'] }} | {% endfor %}