Template:MCL coexpression mm9: Difference between revisions
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{{Loading|loadingimage=sprites.gif}}<html> | {{Loading|loadingimage=sprites.gif}}<html> | ||
<script type="text/javascript" language="javascript" src="/ | <script type="text/javascript" language="javascript" src="/5/sstar/rb_js/datatables/media/js/jquery.dataTables.min.js"></script> | ||
<script type="text/javascript" language="javascript" src="/ | <script type="text/javascript" language="javascript" src="/5/sstar/rb_js/datatables/extras/TableTools/media/js/TableTools.min.js"></script> | ||
<script type="text/javascript" src="/ | <script type="text/javascript" src="/5/sstar/rb_js/custom/convert.js"></script> | ||
<style type="text/css" title="currentStyle"> | <style type="text/css" title="currentStyle"> | ||
@import "/ | @import "/5/sstar/rb_js/datatables/media/css/jquery.dataTables.css"; | ||
@import "/ | @import "/5/sstar/rb_js/datatables/extras/TableTools/media/css/TableTools.css"; | ||
.table_title{ | .table_title{ | ||
text-align:left; | text-align:left; | ||
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var id = obj.aData[ obj.iDataColumn ]; | var id = obj.aData[ obj.iDataColumn ]; | ||
var elems = id.split('.'); | var elems = id.split('.'); | ||
return sReturn = "<a href=\"/ | return sReturn = "<a href=\"/5/sstar/FF:"+elems[2]+"\">"+decodeURIComponent(elems[0])+" "+elems[1]+"</a>"; | ||
} },{ "sTitle": "Score", "sType": "numeric" ,"fnRender": function (obj) { | } },{ "sTitle": "Score", "sType": "numeric" ,"fnRender": function (obj) { | ||
var num =obj.aData[obj.iDataColumn]; | var num =obj.aData[obj.iDataColumn]; | ||
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}); | }); | ||
var coexpression_dpi_cluster_scores_table_tool = new TableTools( coexpression_dpi_cluster_scores_table, {"sSwfPath": "/ | var coexpression_dpi_cluster_scores_table_tool = new TableTools( coexpression_dpi_cluster_scores_table, {"sSwfPath": "/5/sstar/rb_js/datatables/extras/TableTools/media/swf/copy_csv_xls_pdf.swf", "aButtons": [ {"sExtends": "copy", "mColumns": "visible"},{"sExtends": "csv", "mColumns": "visible"}, {"sExtends": "pdf", "mColumns": "visible"} ]}); | ||
$('#relative_exp_of_coexp_table_button').before(coexpression_dpi_cluster_scores_table_tool.dom.container ); | $('#relative_exp_of_coexp_table_button').before(coexpression_dpi_cluster_scores_table_tool.dom.container ); | ||
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// ffcp list | // ffcp list | ||
var ffcp_list_table=$('.ffcp_list').dataTable(); | var ffcp_list_table=$('.ffcp_list').dataTable(); | ||
var ffcp_list_table_tools = new TableTools( ffcp_list_table, {"sSwfPath": "/ | var ffcp_list_table_tools = new TableTools( ffcp_list_table, {"sSwfPath": "/5/sstar/rb_js/datatables/extras/TableTools/media/swf/copy_csv_xls_pdf.swf", "aButtons": [ {"sExtends": "copy", "mColumns": "visible"}, {"sExtends": "csv", "mColumns": "visible"}, {"sExtends": "pdf", "mColumns": "visible"} ]}); | ||
$('#ffcp_list_table_export_tool').before(ffcp_list_table_tools.dom.container ); | $('#ffcp_list_table_export_tool').before(ffcp_list_table_tools.dom.container ); | ||
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}); | }); | ||
var oTableTools = new TableTools( oTable, {"sSwfPath": "/ | var oTableTools = new TableTools( oTable, {"sSwfPath": "/5/sstar/rb_js/datatables/extras/TableTools/media/swf/copy_csv_xls_pdf.swf", "aButtons": [ {"sExtends": "copy", "mColumns": "visible"}, {"sExtends": "csv", "mColumns": "visible"}, {"sExtends": "pdf", "mColumns": "visible"} ]}); | ||
$('#gostat_table_export_tool').before( oTableTools.dom.container ); | $('#gostat_table_export_tool').before( oTableTools.dom.container ); | ||
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var elems = id.split('_')[0]; | var elems = id.split('_')[0]; | ||
var motif_id=elems.substr(5,elems.length); | var motif_id=elems.substr(5,elems.length); | ||
return sReturn = "<a href=\"/ | return sReturn = "<a href=\"/5/sstar/Novel_motif:"+motif_id+"\">"+decodeURIComponent(id)+"</a>"; | ||
} }, | } }, | ||
{ "sTitle": "-log10(p-value)","sType": "numeric","fnRender": function (obj) { | { "sTitle": "-log10(p-value)","sType": "numeric","fnRender": function (obj) { | ||
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"aaSorting": [[ 1, "desc" ]] | "aaSorting": [[ 1, "desc" ]] | ||
}); | }); | ||
var tfbs_overexpression_novel_table_objtool = new TableTools( tfbs_overexpression_novel_table_obj, {"sSwfPath": "/ | var tfbs_overexpression_novel_table_objtool = new TableTools( tfbs_overexpression_novel_table_obj, {"sSwfPath": "/5/sstar/rb_js/datatables/extras/TableTools/media/swf/copy_csv_xls_pdf.swf", "aButtons": [ {"sExtends": "copy", "mColumns": "visible"},{"sExtends": "csv", "mColumns": "visible"}, {"sExtends": "pdf", "mColumns": "visible"} ]}); | ||
$('#tfbs_overexpression_novel_table_button').before( tfbs_overexpression_novel_table_objtool.dom.container ); | $('#tfbs_overexpression_novel_table_button').before( tfbs_overexpression_novel_table_objtool.dom.container ); | ||
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"iDisplayLength": 10, | "iDisplayLength": 10, | ||
"aLengthMenu": [[10, 50, -1], [10, 50, "All"]], | "aLengthMenu": [[10, 50, -1], [10, 50, "All"]], | ||
"aoColumnDefs": [{ "sWidth": "200pt", "fnRender": function ( o, val ) {return "<a href=\"/ | "aoColumnDefs": [{ "sWidth": "200pt", "fnRender": function ( o, val ) {return "<a href=\"/5/sstar/JASPAR_motif:"+o.aData[0]+"\">"+o.aData[0]+"</a>";}, "aTargets": [ 0 ] }, {"sType": "numeric", "aTargets": [ 1 ],"fnRender": function (obj) { | ||
var num =obj.aData[obj.iDataColumn]; | var num =obj.aData[obj.iDataColumn]; | ||
var num_as_number=Number(num); | var num_as_number=Number(num); | ||
| Line 239: | Line 239: | ||
"aaSorting": [[ 1, "desc" ]] | "aaSorting": [[ 1, "desc" ]] | ||
}); | }); | ||
tfbs_overexpression_jaspar_table_objtool = new TableTools( tfbs_overexpression_jaspar_table_obj, {"sSwfPath": "/ | tfbs_overexpression_jaspar_table_objtool = new TableTools( tfbs_overexpression_jaspar_table_obj, {"sSwfPath": "/5/sstar/rb_js/datatables/extras/TableTools/media/swf/copy_csv_xls_pdf.swf", "aButtons": [ {"sExtends": "copy", "mColumns": "visible"},{"sExtends": "csv", "mColumns": "visible"}, {"sExtends": "pdf", "mColumns": "visible"} ]}); | ||
$('#tfbs_overexpression_jaspar_table_button').before(tfbs_overexpression_jaspar_table_objtool.dom.container ); | $('#tfbs_overexpression_jaspar_table_button').before(tfbs_overexpression_jaspar_table_objtool.dom.container ); | ||
Revision as of 16:30, 24 August 2015
Phase1 CAGE Peaks
Enriched pathways on this co-expression cluster<b>Summary:</b><br>Canonical pathway gene sets were compiled from Reactome, Wikipathways and KEGG. For the major signaling pathways, the transcriptionally-regulated genes (downstream targets) were obtained from Netpath. Combined, the canonical pathways and downstream targets totaled 489 human gene sets. The corresponding M. musculus gene sets were inferred by homology using the HomoloGene database. Enrichment for each of the canonical 489 pathways and gene sets included in the co-expression cluster was assessed by the hypergeometric probability. The resulting P values were also then adjusted by the Benjamini-Hochberg method for multiple comparisons.<br><b>Analyst: </b>Emmanuel Dimont<br><br>link to source dataset<br>data
| GO ID | GO name | FDR corrected p-value |
|---|---|---|
| {{{gostat_on_MCL_coexpression}}} |
Relative expression of the co-expression cluster over median <br>Analyst:
"{{{coexpression_dpi_cluster_scores_median}}}" is not a number.
Enriched sample ontology terms on this co-expression cluster<b>Summary:</b>To summarize promoter activities (expression profile of a TSS region) across ~1000 samples, we performed enrichment analysis based on FANTOM5 Sample Ontology (FF ontology). The question here is “in which type of samples the promoter is more active”. To answer this question, we compared expressions (TPMs) in the samples associated with a sample ontology term and the rest of the samples by using the Mann-Whitney rank sum test. To summarize ontologies enriched in this co-expression cluster, we ran the same analysis on an averaged expression profile of all promoters that make up. <b>Analyst:</b> Hideya Kawaji <br><br>links to source dataset<br><br>cell_data<br>uberon_data<br>disease_data<br>
| Ontology term | p-value | n |
|---|
| Ontology term | p-value | n |
|---|
| Ontology term | p-value | n |
|---|
TFBS overrepresentation<b>Summary:</b>The values shown are the p-values for overrepresentation of the motif in this coexpression cluster. So a small p-value means a strong overrepresentation. <b>Analyst:</b> Michiel de Hoon <br><br>link to source data <br> Novel motifs <br>data <br><br> Jaspar motifs <br>data
Novel motifs
JASPAR motifs
| Motifs | -log10(p-value) |
|---|---|
|
{{{tfbs_overrepresentation_jaspar}}} |
