diff options
| author | BonfaceKilz | 2020-12-09 13:45:56 +0300 |
|---|---|---|
| committer | GitHub | 2020-12-09 13:45:56 +0300 |
| commit | 0c7ee32e4b7f71370329516669862e15cd1f09e3 (patch) | |
| tree | 17ba1aa21afefe48e894101d95afbbd62fad34a2 /wqflask/wqflask/templates/correlation_page.html | |
| parent | cec8e3078784abf0224b23592d56745a09d7060f (diff) | |
| parent | 09f69ad0397a6acea9b1f914be8a1d3dbffe814c (diff) | |
| download | genenetwork2-0c7ee32e4b7f71370329516669862e15cd1f09e3.tar.gz | |
Merge branch 'testing' into replace-jszip
Diffstat (limited to 'wqflask/wqflask/templates/correlation_page.html')
| -rw-r--r-- | wqflask/wqflask/templates/correlation_page.html | 41 |
1 files changed, 31 insertions, 10 deletions
diff --git a/wqflask/wqflask/templates/correlation_page.html b/wqflask/wqflask/templates/correlation_page.html index 01789d67..7acccc25 100644 --- a/wqflask/wqflask/templates/correlation_page.html +++ b/wqflask/wqflask/templates/correlation_page.html @@ -49,7 +49,7 @@ GeneWeaver </button> - <button id="send_to_bnw" class="btn btn-primary submit_special" data-url="/bnw_page" title="Bayesian Network" > + <button id="send_to_bnw" class="btn btn-primary submit_special" data-url="/bnw_page" title="Bayesian network software for causal modeling and reasoning, with an intuitive interface to incorporate biological knowledge and a complete pipeline from data to model to prediction" > BNW </button> @@ -345,8 +345,15 @@ 'title': "Sample {% if corr_method == 'pearson' %}r{% else %}rho{% endif %}", 'type': "natural-minus-na", 'width': "40px", - 'data': "sample_r", - 'orderSequence': [ "desc", "asc"] + 'data': null, + 'orderSequence': [ "desc", "asc"], + 'render': function(data, type, row, meta) { + if (data.sample_r != "N/A") { + return "<a target\"_blank\" href=\"corr_scatter_plot?dataset_1={% if dataset.name == 'Temp' %}Temp_{{ dataset.group.name }}{% else %}{{ dataset.name }}{% endif %}&dataset_2=" + data.dataset + "&trait_1={{ this_trait.name }}&trait_2=" + data.trait_id + "\">" + data.sample_r + "</a>" + } else { + return data.sample_r + } + } }, { 'title': "N", @@ -357,7 +364,7 @@ }, { 'title': "Sample p({% if corr_method == 'pearson' %}r{% else %}rho{% endif %})", - 'type': "natural-minus-na", + 'type': "scientific", 'width': "65px", 'data': "sample_p", 'orderSequence': [ "desc", "asc"] @@ -459,8 +466,15 @@ 'title': "Sample {% if corr_method == 'pearson' %}r{% else %}rho{% endif %}", 'type': "natural-minus-na", 'width': "40px", - 'data': "sample_r", - 'orderSequence': [ "desc", "asc"] + 'data': null, + 'orderSequence': [ "desc", "asc"], + 'render': function(data, type, row, meta) { + if (data.sample_r != "N/A") { + return "<a target\"_blank\" href=\"corr_scatter_plot?dataset_1={% if dataset.name == 'Temp' %}Temp_{{ dataset.group.name }}{% else %}{{ dataset.name }}{% endif %}&dataset_2=" + data.dataset + "&trait_1={{ this_trait.name }}&trait_2=" + data.trait_id + "\">" + data.sample_r + "</a>" + } else { + return data.sample_r + } + } }, { 'title': "N", @@ -471,7 +485,7 @@ }, { 'title': "Sample p({% if corr_method == 'pearson' %}r{% else %}rho{% endif %})", - 'type': "natural-minus-na", + 'type': "scientific", 'width': "65px", 'data': "sample_p", 'orderSequence': [ "desc", "asc"] @@ -506,8 +520,15 @@ 'title': "Sample {% if corr_method == 'pearson' %}r{% else %}rho{% endif %}", 'type': "natural-minus-na", 'width': "40px", - 'data': "sample_r", - 'orderSequence': [ "desc", "asc"] + 'data': null, + 'orderSequence': [ "desc", "asc"], + 'render': function(data, type, row, meta) { + if (data.sample_r != "N/A") { + return "<a target\"_blank\" href=\"corr_scatter_plot?dataset_1={% if dataset.name == 'Temp' %}Temp_{{ dataset.group.name }}{% else %}{{ dataset.name }}{% endif %}&dataset_2=" + data.dataset + "&trait_1={{ this_trait.name }}&trait_2=" + data.trait_id + "\">" + data.sample_r + "</a>" + } else { + return data.sample_r + } + } }, { 'title': "N", @@ -518,7 +539,7 @@ }, { 'title': "Sample p({% if corr_method == 'pearson' %}r{% else %}rho{% endif %})", - 'type': "natural-minus-na", + 'type': "scientific", 'width': "65px", 'data': "sample_p", 'orderSequence': [ "desc", "asc"] |