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| -rw-r--r-- | wqflask/wqflask/templates/show_trait_calculate_correlations.html | 62 |
1 files changed, 32 insertions, 30 deletions
diff --git a/wqflask/wqflask/templates/show_trait_calculate_correlations.html b/wqflask/wqflask/templates/show_trait_calculate_correlations.html index 00fdfc21..600664e2 100644 --- a/wqflask/wqflask/templates/show_trait_calculate_correlations.html +++ b/wqflask/wqflask/templates/show_trait_calculate_correlations.html @@ -114,35 +114,37 @@ </div> </div> <div class="col-xs-4"> - <span id="sample_r_desc" class="correlation_desc"> - The <a href="http://genenetwork.org/correlationAnnotation.html#genetic_r">Sample Correlation</a> - is computed - between trait data and any - other traits in the sample database selected above. Use - <a href="http://www.genenetwork.org/glossary.html#Correlations">Spearman - Rank</a> - when the sample size is small (<20) or when there are influential outliers. - </span> - <span id="lit_r_desc" style="display: none;" class="correlation_desc"> - The <a href="http://genenetwork.org/correlationAnnotation.html#literatureCorr">Literature Correlation</a> - (Lit r) between - this gene and all other genes is computed<br> - using the <a href="https://grits.eecs.utk.edu/sgo/sgo.html"> - Semantic Gene Organizer</a> - and human, rat, and mouse data from PubMed. - Values are ranked by Lit r, but Sample r and Tissue r are also displayed.<br> - <a href="http://genenetwork.org/glossary.html#Literature">More on using Lit r</a> - </span> - <span id="tissue_r_desc" style="display: none;" class="correlation_desc"> - The <a href="http://genenetwork.org/webqtl/main.py?FormID=tissueCorrelation">Tissue Correlation</a> - (Tissue r) - estimates the similarity of expression of two genes - or transcripts across different cells, tissues, or organs - (<a href="http://genenetwork.org/correlationAnnotation.html#tissueCorr">glossary</a>). - Tissue correlations - are generated by analyzing expression in multiple samples usually taken from single cases.<br> - <strong>Pearson</strong> and <strong>Spearman Rank</strong> correlations have been - computed for all pairs of genes using data from mouse samples.<br> - </span> + <div class="section-form-div"> + <span id="sample_r_desc" class="correlation_desc"> + The <a href="http://genenetwork.org/correlationAnnotation.html#genetic_r">Sample Correlation</a> + is computed + between trait data and any + other traits in the sample database selected above. Use + <a href="http://www.genenetwork.org/glossary.html#Correlations">Spearman + Rank</a> + when the sample size is small (<20) or when there are influential outliers. + </span> + <span id="lit_r_desc" style="display: none;" class="correlation_desc"> + The <a href="http://genenetwork.org/correlationAnnotation.html#literatureCorr">Literature Correlation</a> + (Lit r) between + this gene and all other genes is computed<br> + using the <a href="https://grits.eecs.utk.edu/sgo/sgo.html"> + Semantic Gene Organizer</a> + and human, rat, and mouse data from PubMed. + Values are ranked by Lit r, but Sample r and Tissue r are also displayed.<br> + <a href="http://genenetwork.org/glossary.html#Literature">More on using Lit r</a> + </span> + <span id="tissue_r_desc" style="display: none;" class="correlation_desc"> + The <a href="http://genenetwork.org/webqtl/main.py?FormID=tissueCorrelation">Tissue Correlation</a> + (Tissue r) + estimates the similarity of expression of two genes + or transcripts across different cells, tissues, or organs + (<a href="http://genenetwork.org/correlationAnnotation.html#tissueCorr">glossary</a>). + Tissue correlations + are generated by analyzing expression in multiple samples usually taken from single cases.<br> + <strong>Pearson</strong> and <strong>Spearman Rank</strong> correlations have been + computed for all pairs of genes using data from mouse samples.<br> + </span> + </div> </div> </div>
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