Template:Novel motif: Difference between revisions
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scrollY: "300px", | scrollY: "300px", | ||
scrollCollapse: true, | scrollCollapse: true, | ||
pageLength: 10, | |||
lengthMenu: [[5,10,-1], [5,10,"All"]], | lengthMenu: [[5,10,-1], [5,10,"All"]], | ||
data: h_data, | data: h_data, | ||
| Line 46: | Line 45: | ||
{ title: "p-value", type: "numeric", "width": "50pt", render: function (data, type, row, meta) { | { title: "p-value", type: "numeric", "width": "50pt", render: function (data, type, row, meta) { | ||
var num = row[1]; | var num = row[1]; | ||
return exp_converter(num,2,"e") ; | return exp_converter(num,2,"e"); | ||
} } | } } | ||
], | ], | ||
| Line 63: | Line 62: | ||
$('#m_pval_table').DataTable({ | $('#m_pval_table').DataTable({ | ||
dom: ' | dom: 'lfrtip', | ||
scrollY: "300px", | scrollY: "300px", | ||
scrollCollapse: true, | scrollCollapse: true, | ||
| Line 77: | Line 75: | ||
{ title: "p-value", width: "50pt", type: "numeric", render: function (data, type, row, meta) { | { title: "p-value", width: "50pt", type: "numeric", render: function (data, type, row, meta) { | ||
var num =row[1]; | var num =row[1]; | ||
return exp_converter(num,2,"e") ; | return exp_converter(num,2,"e"); | ||
} | } | ||
} | } | ||
| Line 86: | Line 84: | ||
// GREAT table for human start | // GREAT table for human start | ||
$('#great_table_human').DataTable({ | $('#great_table_human').DataTable({ | ||
dom: 'lfrtip', | dom:'lfrtip', | ||
scrollY: "300px", | scrollY:"300px", | ||
scrollCollapse: true, | scrollCollapse:true, | ||
pageLength: 10, | pageLength:10, | ||
lengthMenu: [[5,10,-1], [5,10,"All"]], | lengthMenu:[[5,10,-1], [5,10,"All"]], | ||
order: [[ 2, "asc" ]], | order:[[ 2, "asc" ]], | ||
columns: [ | columns:[ | ||
{"orderable": false}, | {"orderable":false}, | ||
{"orderable": false}, | {"orderable":false}, | ||
{type: "html-number", width: "80pt", render: function(data, type, row, meta) { | {type: "html-number", width: "80pt", render: function(data, type, row, meta) { | ||
var num =row[2]; | var num =row[2]; | ||
return exp_converter(num,2,"e") ; | return exp_converter(num,2,"e"); | ||
} | } | ||
} | } | ||
| Line 117: | Line 115: | ||
{type: "html-number", width: "80pt", render: function(data, type, row, meta) { | {type: "html-number", width: "80pt", render: function(data, type, row, meta) { | ||
var num =row[2]; | var num =row[2]; | ||
return exp_converter(num,2,"e") ; | return exp_converter(num,2,"e"); | ||
} | } | ||
} | } | ||
Latest revision as of 16:22, 24 September 2021
| name: | {{{name}}} |
|---|
Association to promoter expression in human samples<b>Summary:</b>Significance of the correlation with CAGE expression, human <br><b>Analyst:</b> Michiel de Hoon<br><br>link to source dataset <br>data
Association to promoter expression in mouse samples
<b>Summary:</b>Significance of the correlation with CAGE expression, mouse <br><b>Analyst:</b> Michiel de Hoon<br><br>link to source dataset <br>data
GREAT analysis results for human
<b>Summary:</b>Genomic Enrichment of Annotations Tool (GREAT, Nat Biotechnol. 2010 May;28(5):495-501) is used to identify, both in human and in mouse, the gene ontology terms of biological processes enriched given the predicted TFBSs, and evaluated the overlap in the top-500 gene ontology terms between human and mouse. For each novel motif, the P value for the overlap was then evaluated by calculating its relative rank with respect to this background distribution.<br>Analyst: Michiel de Hoon<br><br>link to source dataset <br>data
| GO ID | GO Term | p-value |
|---|---|---|
| {{{great_results_human}}} |
GREAT analysis results for mouseGenomic Enrichment of Annotations Tool (GREAT, Nat Biotechnol. 2010 May;28(5):495-501) is used to identify, both in human and in mouse, the gene ontology terms of biological processes enriched given the predicted TFBSs, and evaluated the overlap in the top-500 gene ontology terms between human and mouse. For each novel motif, the P value for the overlap was then evaluated by calculating its relative rank with respect to this background distribution.<br>Analyst: Michiel de Hoon <br><br>link to source dataset <br>data
| GO ID | GO Term | p-value |
|---|---|---|
| {{{great_results_mouse}}} |
