1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
|
{% extends "base.html" %}
{% block css %}
<link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/css/jquery.dataTables.css" />
<link rel="stylesheet" type="text/css" href="/static/packages/DT_bootstrap/DT_bootstrap.css" />
<link rel="stylesheet" type="text/css" href="/static/packages/TableTools/media/css/TableTools.css" />
{% endblock %}
{% block content %}
{{ header("Correlation", 'Trait: {} Dataset: {}'.format(this_trait.name, dataset.name)) }}
<div class="container">
<div class="page-header">
<h1>Correlation Table</h1>
</div>
<p>Values of record {{ this_trait.name }} in the <a href="/dbdoc/{{dataset.fullname}}">{{ dataset.fullname }}</a>
dataset were compared to all records in the <a href="/dbdoc/{{target_dataset.fullname}}">{{ target_dataset.fullname }}</a>
dataset. The top {{ return_number }} correlations ranked by the {{ formatted_corr_type }} are displayed.
You can resort this list by clicking the headers. Select the Record ID to open the trait data
and analysis page.
</p>
<div>
<table id="corr_results" class="table table-hover table-striped table-bordered">
<thead>
<tr>
{% if target_dataset.type == 'ProbeSet' %}
<th>Trait</th>
<th>Symbol</th>
<th>Description</th>
<th>Location</th>
<th>Mean Expr</th>
<th>Max LRS</th>
<th>Max LRS Location</th>
{% if corr_method == 'pearson' %}
<th>Sample r</th>
<th>N Cases</th>
<th>Sample p(r)</th>
<th>Lit Corr</th>
<th>Tissue r</th>
<th>Tissue p(r)</th>
{% else %}
<th>Sample rho</th>
<th>N Cases</th>
<th>Sample p(rho)</th>
<th>Lit Corr</th>
<th>Tissue rho</th>
<th>Tissue p(rho)</th>
{% endif %}
{% elif target_dataset.type == "Publish" %}
<th>Record ID</th>
<th>Phenotype</th>
<th>Authors</th>
<th>Year</th>
{% if corr_method == 'pearson' %}
<th>Sample r</th>
<th>N Cases</th>
<th>Sample p(r)</th>
{% else %}
<th>Sample rho</th>
<th>N Cases</th>
<th>Sample p(rho)</th>
{% endif %}
{% elif target_dataset.type == "Geno" %}
<th>Record ID</th>
<th>Location</th>
{% if corr_method == 'pearson' %}
<th>Sample r</th>
<th>N Cases</th>
<th>Sample p(r)</th>
{% else %}
<th>Sample rho</th>
<th>N Cases</th>
<th>Sample p(rho)</th>
{% endif %}
{% endif %}
</tr>
</thead>
<tbody>
{% for trait in correlation_results %}
<tr>
{% if target_dataset.type == 'ProbeSet' %}
<td><a href="/show_trait?trait_id={{trait.name}}&dataset={{trait.dataset.name}}">{{ trait.name }}</a></td>
<td>{{ trait.symbol }}</td>
<td>{{ trait.description }} <br><br> <b>Aliases</b>: {{ trait.alias }}</td>
<td>Chr{{ trait.chr }}: {{'%0.6f'|format(trait.mb) }}</td>
<td>{{'%0.3f'|format(trait.mean)}}</td>
<td>{{'%0.3f'|format(trait.lrs)}}</td>
<td>Chr{{ trait.locus_chr }}: {{'%0.3f'|format(trait.locus_mb) }}</td>
<td><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>{{ trait.num_overlap }}</td>
<td>{{'%0.3e'|format(trait.sample_p)}}</td>
<td>{{'%0.3f'|format(trait.lit_corr)}}</td>
<td>{{'%0.3f'|format(trait.tissue_corr)}}</td>
<td>{{'%0.3e'|format(trait.tissue_pvalue)}}</td>
{% elif target_dataset.type == "Publish" %}
<td><a href="/show_trait?trait_id={{trait.name}}&dataset={{trait.dataset.name}}">{{ trait.name }}</a></td>
<td>{{ trait.post_publication_description }}</td>
<td>{{ trait.authors }}</td>
<td>{{ trait.year }}</td>
<td><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>{{ trait.num_overlap }}</td>
<td>{{'%0.3e'|format(trait.sample_p)}}</td>
{% elif target_dataset.type == "Geno" %}
<td><a href="/show_trait?trait_id={{trait.name}}&dataset={{trait.dataset.name}}">{{ trait.name }}</a></td>
<td>Chr{{ trait.chr }}: {{'%0.6f'|format(trait.mb) }}</td>
<td><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>{{ trait.num_overlap }}</td>
<td>{{'%0.3e'|format(trait.sample_p)}}</td>
{% endif %}
</tr>
{% endfor %}
</tbody>
</table>
</div>
</div>
{% endblock %}
{% block js %}
<script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/jquery.js"></script>
<script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/jquery.dataTables.min.js"></script>
<script language="javascript" type="text/javascript" src="/static/packages/DT_bootstrap/DT_bootstrap.js"></script>
<script language="javascript" type="text/javascript" src="/static/packages/TableTools/media/js/TableTools.min.js"></script>
<script language="javascript" type="text/javascript" src="/static/packages/underscore/underscore-min.js"></script>
<script type="text/javascript" charset="utf-8">
$(document).ready( function () {
console.time("Creating table");
$('#corr_results').dataTable( {
//"sDom": "<<'span3'l><'span3'T><'span4'f>'row-fluid'r>t<'row-fluid'<'span6'i><'span6'p>>",
"sDom": "lTftipr",
"oTableTools": {
"aButtons": [
"copy",
"print",
{
"sExtends": "collection",
"sButtonText": 'Save <span class="caret" />',
"aButtons": [ "csv", "xls", "pdf" ]
}
],
"sSwfPath": "/static/packages/TableTools/media/swf/copy_csv_xls_pdf.swf"
},
"iDisplayLength": 50,
"bLengthChange": true,
"bDeferRender": true,
"bSortClasses": false
} );
console.timeEnd("Creating table");
});
</script>
{% endblock %}
|