aboutsummaryrefslogtreecommitdiff
path: root/wqflask
diff options
context:
space:
mode:
Diffstat (limited to 'wqflask')
-rw-r--r--wqflask/wqflask/correlation/show_corr_results.py17
-rw-r--r--wqflask/wqflask/templates/correlation_page.html35
2 files changed, 31 insertions, 21 deletions
diff --git a/wqflask/wqflask/correlation/show_corr_results.py b/wqflask/wqflask/correlation/show_corr_results.py
index 1fa47920..0db8fa38 100644
--- a/wqflask/wqflask/correlation/show_corr_results.py
+++ b/wqflask/wqflask/correlation/show_corr_results.py
@@ -150,6 +150,13 @@ class CorrelationResults(object):
self.header_fields = get_header_fields(self.target_dataset.type, self.corr_method)
+ if self.target_dataset.type == "ProbeSet":
+ self.filter_cols = [7, 6]
+ elif self.target_dataset.type == "Publish":
+ self.filter_cols = [6, 0]
+ else:
+ self.filter_cols = [4, 0]
+
self.correlation_results = []
self.correlation_data = {}
@@ -583,7 +590,10 @@ def get_header_fields(data_type, corr_method):
'Year',
'Sample r',
'N',
- 'Sample p(r)']
+ 'Sample p(r)',
+ 'Max LRS',
+ 'Max LRS Location',
+ 'Additive Effect']
else:
header_fields = ['Index',
'Record',
@@ -592,7 +602,10 @@ def get_header_fields(data_type, corr_method):
'Year',
'Sample rho',
'N',
- 'Sample p(rho)']
+ 'Sample p(rho)',
+ 'Max LRS',
+ 'Max LRS Location',
+ 'Additive Effect']
else:
if corr_method == "pearson":
header_fields = ['Index',
diff --git a/wqflask/wqflask/templates/correlation_page.html b/wqflask/wqflask/templates/correlation_page.html
index fffdfd75..cbd2ab46 100644
--- a/wqflask/wqflask/templates/correlation_page.html
+++ b/wqflask/wqflask/templates/correlation_page.html
@@ -161,12 +161,12 @@
{{ trait.pubmed_text }}
</a>
</td>
- <td align="right">{{ trait.LRS_score_repr }}</td>
- <td align="right">{{ trait.LRS_location_repr }}</td>
- <td align="right">{% if trait.additive != "" %}{{ '%0.3f' % trait.additive|float }}{% else %}N/A{% endif %}</td>
<td align="right"><a target="_blank" href="corr_scatter_plot?dataset_1={{dataset.name}}&dataset_2={{trait.dataset.name}}&trait_1={{this_trait.name}}&trait_2={{trait.name}}">{{'%0.3f'|format(trait.sample_r)}}</a></td>
<td align="right">{{ trait.num_overlap }}</td>
<td align="right">{{'%0.3e'|format(trait.sample_p)}}</td>
+ <td align="right">{{ trait.LRS_score_repr }}</td>
+ <td align="right">{{ trait.LRS_location_repr }}</td>
+ <td align="right">{% if trait.additive != "" %}{{ '%0.3f' % trait.additive|float }}{% else %}N/A{% endif %}</td>
{% elif target_dataset.type == "Geno" %}
<td align="right">{{ trait.location_repr }}</TD>
<td align="right"><a target="_blank" href="corr_scatter_plot?dataset_1={{dataset.name}}&dataset_2={{trait.dataset.name}}&trait_1={{this_trait.name}}&trait_2={{trait.name}}">{{'%0.3f'|format(trait.sample_r)}}</a></td>
@@ -233,38 +233,37 @@
//$.fn.dataTableExt.afnFiltering.push(
$.fn.dataTable.ext.search.push( function( settings, data, dataIndex ) {
- var r_column = 10;
+ var r_column = {{ filter_cols[0] }};
var r_greater = parseFloat($('input[name=r_greater_select]').val())
var r_less = parseFloat($('input[name=r_less_select]').val());
var r_and_or = $('#r_and_or').val();
- var mean_column = 6;
+ var mean_column = {{ filter_cols[1] }};
var mean_greater = parseFloat($('input[name=mean_greater_select]').val());
var mean_less = parseFloat($('input[name=mean_less_select]').val());
var mean_and_or = $('#mean_and_or').val();
-
if (r_and_or == "and" && mean_and_or == "and"){
- if ( (data[r_column] >= r_greater && data[r_column] <= r_less) && (data[mean_column] > mean_greater && data[mean_column] < mean_less) ){
+ if ( (data[r_column] >= r_greater && data[r_column] <= r_less) && {% if filter_cols[1] != 0 %}(data[mean_column] > mean_greater && data[mean_column] < mean_less){% else %} true{% endif %} ){
return true
}
else {
return false
}
} else if (r_and_or == "and" && mean_and_or == "or"){
- if ( (data[r_column] >= r_greater && data[r_column] <= r_less) && (data[mean_column] >= mean_greater || data[mean_column] <= mean_less) ){
+ if ( (data[r_column] >= r_greater && data[r_column] <= r_less) && {% if filter_cols[1] != 0 %}(data[mean_column] >= mean_greater || data[mean_column] <= mean_less){% else %} true{% endif %} ){
return true
} else {
return false
}
} else if (r_and_or == "or" && mean_and_or == "and") {
- if ( (data[r_column] >= r_greater || data[r_column] <= r_less) && (data[mean_column] >= mean_greater && data[mean_column] <= mean_less) ){
+ if ( (data[r_column] >= r_greater || data[r_column] <= r_less) && {% if filter_cols[1] != 0 %}(data[mean_column] >= mean_greater && data[mean_column] <= mean_less){% else %} true{% endif %} ){
return true
} else {
return false
}
} else {
- if ( (data[r_column] >= r_greater || data[r_column] <= r_less) && (data[mean_column] >= mean_greater || data[mean_column] <= mean_less) ){
+ if ( (data[r_column] >= r_greater || data[r_column] <= r_less) && {% if filter_cols[1] != 0 %}(data[mean_column] >= mean_greater || data[mean_column] <= mean_less){% else %} true{% endif %} ){
return true
} else {
return false
@@ -360,7 +359,7 @@
$('td', row).eq(4).text($('td', row).eq(4).text() + '...')
}
},
- "order": [[12, "asc" ]],
+ "order": [[9, "asc" ]],
"sDom": "tir",
"iDisplayLength": -1,
"autoWidth": false,
@@ -395,11 +394,11 @@
{ "type": "natural", "width": "12%" },
{ "type": "natural" },
{ "type": "natural" },
- { "type": "natural" },
- { "type": "natural" },
{ "orderDataType": "dom-innertext", 'orderSequence': [ "desc", "asc"] },
+ { "type": "scientific" },
{ "type": "natural" },
- { "type": "scientific" }
+ { "type": "natural" },
+ { "type": "natural" }
],
"createdRow": function ( row, data, index ) {
$('td', row).eq(3).attr('title', $('td', row).eq(3).text());
@@ -413,12 +412,10 @@
$('td', row).eq(4).text($('td', row).eq(4).text() + '...')
}
},
- "order": [[11, "asc" ]],
- "sDom": "Btir",
+ "order": [[8, "asc" ]],
+ "sDom": "tir",
"autoWidth": false,
- "bDeferRender": true,
- "scrollY": "800px",
- "scrollCollapse": false
+ "bDeferRender": true
}
{% elif target_dataset.type == "Geno" %}
table_conf = {