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-rw-r--r--wqflask/tests/unit/wqflask/marker_regression/test_run_mapping.py33
-rw-r--r--wqflask/tests/unit/wqflask/wgcna/__init__.py0
-rw-r--r--wqflask/tests/unit/wqflask/wgcna/test_wgcna.py50
-rw-r--r--wqflask/wqflask/marker_regression/run_mapping.py2
-rw-r--r--wqflask/wqflask/templates/test_wgcna_results.html158
-rw-r--r--wqflask/wqflask/templates/tool_buttons.html4
-rw-r--r--wqflask/wqflask/templates/wgcna_setup.html198
-rw-r--r--wqflask/wqflask/views.py11
-rw-r--r--wqflask/wqflask/wgcna/gn3_wgcna.py102
9 files changed, 493 insertions, 65 deletions
diff --git a/wqflask/tests/unit/wqflask/marker_regression/test_run_mapping.py b/wqflask/tests/unit/wqflask/marker_regression/test_run_mapping.py
index 3747aeb8..868b0b0b 100644
--- a/wqflask/tests/unit/wqflask/marker_regression/test_run_mapping.py
+++ b/wqflask/tests/unit/wqflask/marker_regression/test_run_mapping.py
@@ -43,7 +43,7 @@ class TestRunMapping(unittest.TestCase):
})
}
self.dataset = AttributeSetter(
- {"fullname": "dataser_1", "group": self.group, "type": "ProbeSet"})
+ {"fullname": "dataset_1", "group": self.group, "type": "ProbeSet"})
self.chromosomes = AttributeSetter({"chromosomes": chromosomes})
self.trait = AttributeSetter(
@@ -180,37 +180,36 @@ class TestRunMapping(unittest.TestCase):
with mock.patch("wqflask.marker_regression.run_mapping.datetime.datetime", new=datetime_mock):
export_mapping_results(dataset=self.dataset, trait=self.trait, markers=markers,
- results_path="~/results", mapping_scale="physic", score_type="-log(p)",
- transform="qnorm", covariates="Dataset1:Trait1,Dataset2:Trait2", n_samples="100",
- vals_hash="")
+ results_path="~/results", mapping_method="gemma", mapping_scale="physic",
+ score_type="-logP", transform="qnorm",
+ covariates="Dataset1:Trait1,Dataset2:Trait2",
+ n_samples="100", vals_hash="")
write_calls = [
mock.call('Time/Date: 09/01/19 / 10:12:12\n'),
mock.call('Population: Human GP1_\n'), mock.call(
- 'Data Set: dataser_1\n'),
+ 'Data Set: dataset_1\n'),
mock.call('Trait: Test Name\n'),
mock.call('Trait Hash: \n'),
- mock.call('N Samples: 100\n'), mock.call(
- 'Transform - Quantile Normalized\n'),
+ mock.call('N Samples: 100\n'),
+ mock.call('Mapping Tool: gemma\n'),
+ mock.call('Transform - Quantile Normalized\n'),
mock.call('Gene Symbol: IGFI\n'), mock.call(
'Location: X1 @ 123313 Mb\n'),
mock.call('Cofactors (dataset - trait):\n'),
mock.call('Trait1 - Dataset1\n'),
mock.call('Trait2 - Dataset2\n'),
mock.call('\n'), mock.call('Name,Chr,'),
- mock.call('Mb,-log(p)'), mock.call('Cm,-log(p)'),
+ mock.call('Mb,-logP'),
mock.call(',Additive'), mock.call(',Dominance'),
mock.call('\n'), mock.call('MK1,C1,'),
- mock.call('12000,'), mock.call('1,'),
- mock.call('3'), mock.call(',VA'),
- mock.call(',TT'), mock.call('\n'),
- mock.call('MK2,C2,'), mock.call('10000,'),
- mock.call('15,'), mock.call('7'),
+ mock.call('12000,'), mock.call('3'),
+ mock.call(',VA'), mock.call(',TT'),
+ mock.call('\n'), mock.call('MK2,C2,'),
+ mock.call('10000,'), mock.call('7'),
mock.call('\n'), mock.call('MK1,C3,'),
- mock.call('1,'), mock.call('45,'),
- mock.call('7'), mock.call(',VE'),
- mock.call(',Tt')
-
+ mock.call('1,'), mock.call('7'),
+ mock.call(',VE'), mock.call(',Tt')
]
mock_open.assert_called_once_with("~/results", "w+")
filehandler = mock_open()
diff --git a/wqflask/tests/unit/wqflask/wgcna/__init__.py b/wqflask/tests/unit/wqflask/wgcna/__init__.py
new file mode 100644
index 00000000..e69de29b
--- /dev/null
+++ b/wqflask/tests/unit/wqflask/wgcna/__init__.py
diff --git a/wqflask/tests/unit/wqflask/wgcna/test_wgcna.py b/wqflask/tests/unit/wqflask/wgcna/test_wgcna.py
new file mode 100644
index 00000000..8e947e2f
--- /dev/null
+++ b/wqflask/tests/unit/wqflask/wgcna/test_wgcna.py
@@ -0,0 +1,50 @@
+
+"""module contains for processing gn3 wgcna data"""
+from unittest import TestCase
+
+from wqflask.wgcna.gn3_wgcna import process_wgcna_data
+
+
+class DataProcessingTests(TestCase):
+ """class contains data processing tests"""
+
+ def test_data_processing(self):
+ """test for parsing data for datatable"""
+ output = {
+ "input": {
+ "sample_names": ["BXD1", "BXD2", "BXD3", "BXD4", "BXD5", "BXD6"],
+
+ },
+ "output": {
+ "ModEigens": {
+ "MEturquoise": [
+ 0.0646677768085351,
+ 0.137200224277058,
+ 0.63451113720732,
+ -0.544002665501479,
+ -0.489487590361863,
+ 0.197111117570427
+ ],
+ "MEgrey": [
+ 0.213,
+ 0.214,
+ 0.3141,
+ -0.545,
+ -0.423,
+ 0.156,
+ ]
+ }}}
+
+ row_data = [['BXD1', 0.065, 0.213],
+ ['BXD2', 0.137, 0.214],
+ ['BXD3', 0.635, 0.314],
+ ['BXD4', -0.544, -0.545],
+ ['BXD5', -0.489, -0.423],
+ ['BXD6', 0.197, 0.156]]
+
+ expected_results = {
+ "col_names": ["sample_names", "MEturquoise", "MEgrey"],
+ "mod_dataset": row_data
+ }
+
+ self.assertEqual(process_wgcna_data(output), expected_results)
diff --git a/wqflask/wqflask/marker_regression/run_mapping.py b/wqflask/wqflask/marker_regression/run_mapping.py
index 80094057..769b9240 100644
--- a/wqflask/wqflask/marker_regression/run_mapping.py
+++ b/wqflask/wqflask/marker_regression/run_mapping.py
@@ -230,7 +230,7 @@ class RunMapping:
self.perm_strata = get_perm_strata(
self.this_trait, primary_samples, self.categorical_vars, self.samples)
- self.score_type = "LOD"
+ self.score_type = "-logP"
self.control_marker = start_vars['control_marker']
self.do_control = start_vars['do_control']
if 'mapmethod_rqtl_geno' in start_vars:
diff --git a/wqflask/wqflask/templates/test_wgcna_results.html b/wqflask/wqflask/templates/test_wgcna_results.html
new file mode 100644
index 00000000..1dddd393
--- /dev/null
+++ b/wqflask/wqflask/templates/test_wgcna_results.html
@@ -0,0 +1,158 @@
+{% extends "base.html" %}
+{% block title %}WCGNA results{% endblock %}
+{% block content %}
+<!-- Start of body -->
+
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/xterm/3.14.5/xterm.min.css" integrity="sha512-iLYuqv+v/P4u9erpk+KM83Ioe/l7SEmr7wB6g+Kg1qmEit8EShDKnKtLHlv2QXUp7GGJhmqDI+1PhJYLTsfb8w==" crossorigin="anonymous" referrerpolicy="no-referrer" />
+
+<link rel="stylesheet" href="https://cdn.datatables.net/1.11.3/css/jquery.dataTables.min.css">
+
+
+<style type="text/css">
+
+
+.container {
+ min-height: 100vh;
+ width: 100vw;
+ padding: 20px;
+
+}
+
+.grid_container {
+
+
+ width: 80vw;
+ margin: auto;
+ padding: 20px;
+
+
+ display: grid;
+ grid-template-columns: repeat(7, 1fr);
+ /*grid-gap: 5px;*/
+ border: 1px solid black;
+ grid-column-gap: 20px;
+
+}
+
+.control_sft_column {
+ text-align: center;
+}
+
+.grid_container div:not(:last-child) {
+ border-right: 1px solid #000;
+}
+
+.grid_container .control_sft_column h3 {
+ font-weight: bold;
+ font-size: 18px;
+}
+
+.control_net_colors {
+
+ display: flex;
+ flex-wrap: wrap;
+ justify-content: space-between;
+ align-items: center;
+ text-align: center;
+}
+
+
+.control_mod_eigens {
+ display: grid;
+ grid-template-columns: repeat(2, 200px);
+}
+
+.control-image{
+ display: block;
+ margin-left: auto;
+ margin-right: auto;
+ width: 80vw;
+}
+</style>
+<div class="container">
+ <div>
+ <div >
+ <h2 style="text-align:center">Soft Thresholds </h2>
+ <div class="grid_container">
+
+ {% for key, value in results["data"]["output"]["soft_threshold"].items()%}
+ <div class="control_sft_column">
+ <h3>{{key}}</h3>
+ {% for val in value %}
+ <p>{{val|round(3)}}</p>
+ {% endfor %}
+ </div>
+ {% endfor %}
+ </div>
+ </div>
+
+ <div>
+
+ {% if image["image_generated"] %}
+ <div >
+ <img class="control-image" src="data:image/jpeg;base64,{{ image['image_data']| safe }}">
+ </div>
+
+ {% endif %}
+<!-- <div >
+ <img class="control-image" src="data:image/jpeg;base64,{{ results['data']['output']['image_data2']| safe }}">
+ </div> -->
+ </div>
+
+ <div>
+ <h2 style="text-align:center;"> Module eigen genes </h2>
+ <table id="eigens" class="display" width="80vw"></table>
+ </div>
+
+ <div>
+ <h2 style="text-align:center;">Phenotype modules </h2>
+
+ <table id="phenos" class="display" width="40vw" ></table>
+ </div>
+ </div>
+</div>
+
+{% endblock %}
+
+{% block js %}
+
+<script src="https://cdnjs.cloudflare.com/ajax/libs/xterm/3.14.5/xterm.min.js"></script>
+
+<script language="javascript" type="text/javascript" src="{{ url_for('js', filename='DataTables/js/jquery.js') }}"></script>
+<script language="javascript" type="text/javascript" src="{{ url_for('js', filename='DataTables/js/jquery.dataTables.min.js') }}"></script>
+<script language="javascript" type="text/javascript" src="{{ url_for('js', filename='DataTablesExtensions/scroller/js/dataTables.scroller.min.js') }}"></script>
+
+
+<script type="text/javascript">
+
+
+let results = {{results|safe}}
+
+let phenoModules = results["data"]["output"]["net_colors"]
+let phenotypes = Object.keys(phenoModules)
+let phenoMods = Object.values(phenoModules)
+
+let {col_names,mod_dataset} = {{data|safe}}
+ $('#eigens').DataTable( {
+ data: mod_dataset,
+ columns: col_names.map((name)=>{
+ return {
+ title:name
+ }
+ })
+ } );
+ $('#phenos').DataTable( {
+ data:phenotypes.map((phenoName,idx)=>{
+ return [phenoName,phenoMods[idx]]
+ }),
+ columns: [{
+ title:"Phenotypes"
+ },
+ {
+ title: "Modules"
+ }]
+ } );
+
+
+</script>
+{% endblock %} \ No newline at end of file
diff --git a/wqflask/wqflask/templates/tool_buttons.html b/wqflask/wqflask/templates/tool_buttons.html
index 3f9d8211..3ee5be19 100644
--- a/wqflask/wqflask/templates/tool_buttons.html
+++ b/wqflask/wqflask/templates/tool_buttons.html
@@ -18,13 +18,13 @@
BNW
</button>
-<!-- <button id="wgcna_setup" class="btn btn-primary submit_special" data-url="/wgcna_setup" title="WGCNA Analysis" >
+<button id="wgcna_setup" class="btn btn-primary submit_special" data-url="/wgcna_setup" title="WGCNA Analysis" >
WGCNA
</button>
<button id="ctl_setup" class="btn btn-primary submit_special" data-url="/ctl_setup" title="CTL Analysis" >
CTL Maps
-</button> -->
+</button>
<button id="heatmap" class="btn btn-primary submit_special" data-url="/heatmap" title="Heatmap" >
MultiMap
diff --git a/wqflask/wqflask/templates/wgcna_setup.html b/wqflask/wqflask/templates/wgcna_setup.html
index c5461497..86d9fa10 100644
--- a/wqflask/wqflask/templates/wgcna_setup.html
+++ b/wqflask/wqflask/templates/wgcna_setup.html
@@ -1,49 +1,161 @@
{% extends "base.html" %}
{% block title %}WCGNA analysis{% endblock %}
+{% block content %}
+<!-- Start of body -->
+<style type="text/css">
+
+#terminal {
+ margin-top: 10px;
+}
+
+</style>
+<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/xterm@4.14.1/css/xterm.css">
-{% block content %} <!-- Start of body -->
-<h1> WGCNA analysis parameters</h1>
<div class="container">
- {% if request.form['trait_list'].split(",")|length < 4 %}
- <div class="alert alert-danger" role="alert">
- <span class="glyphicon glyphicon-exclamation-sign" aria-hidden="true"></span>
- <span class="sr-only">Error:</span>
- <h2>Too few phenotypes as input</h2>
- Please make sure you select enough phenotypes / genes to perform WGCNA. Your collection needs to contain at least 4 different phenotypes. You provided {{request.form['trait_list'].split(',')|length}} phenotypes as input.
- </div>
- {% else %}
- <form action="/wgcna_results" method="post" class="form-horizontal">
- <input type="hidden" name="trait_list" id="trait_list" value= "{{request.form['trait_list']}}">
- <div class="form-group">
- <label for="SoftThresholds"> Soft threshold: </label>
- <div class="col-sm-10">
- <input type="text" class="form-inline" name="SoftThresholds" id="SoftThresholds" value="1,2,3,4,5,6,7,8,9">
- </div>
- </div>
- <div class="form-group">
- <label for="MinModuleSize"> Minimum module size: </label>
- <div class="col-sm-10">
- <input type="text" class="form-inline" name="MinModuleSize" id="MinModuleSize" value="30">
- </div>
- </div>
- <div class="form-group">
- <label for="TOMtype"> TOMtype: </label>
- <div class="col-sm-10">
- <input type="text" class="form-inline" name="TOMtype" id="TOMtype" value="unsigned">
- </div>
- </div>
- <div class="form-group">
- <label for="mergeCutHeight"> mergeCutHeight: </label>
- <div class="col-sm-10">
- <input type="text" class="form-inline" name="mergeCutHeight" id="mergeCutHeight" value="0.25">
- </div>
+ <div class="col-md-5">
+ <h1 class="mx-3 my-2 "> WGCNA analysis parameters</h1>
+ {% if request.form['trait_list'].split(",")|length < 4 %} <div class="alert alert-danger" role="alert">
+ <span class="glyphicon glyphicon-exclamation-sign" aria-hidden="true"></span>
+ <span class="sr-only">Error:</span>
+ <h2>Too few phenotypes as input</h2>
+ Please make sure you select enough phenotypes / genes to perform WGCNA. Your collection needs to contain at least 4 different phenotypes. You provided {{request.form['trait_list'].split(',')|length}} phenotypes as input.
</div>
- <div class="form-group">
- <div class="col-sm-10">
- <input type="submit" class="btn btn-primary" value="Run WGCNA using these settings" />
- </div>
- </div>
- </form>
- {% endif %}
+ {% else %}
+ <form class="col-md-12" action="/wgcna_results" method="post" class="form-horizontal" id="wgcna_form">
+ <input type="hidden" name="trait_list" id="trait_list" value="{{request.form['trait_list']}}">
+ <div class="form-group row ">
+ <label for="SoftThresholds" class="col-md-3 col-form-label col-form-label-sm">Soft threshhold</label>
+ <div class="col-md-9">
+ <input type="text" class="form-control form-control-md" value="1,2,3,4,5,6,7,8,9" id="SoftThresholds" name="SoftThresholds">
+ </div>
+ </div>
+ <div class="form-group row ">
+ <label for="MinModuleSize" class="col-md-3 col-form-label col-form-label-sm">Minimum module size:</label>
+ <div class="col-md-9">
+ <input type="text" class="form-control form-control-md" id="MinModuleSize" value="30" name="MinModuleSize">
+ </div>
+ </div>
+
+ <div class="form-group row">
+ <label for="TOMtype" class="col-md-3 col-form-label col-form-label-sm">TOMtype:</label>
+ <div class="col-md-9">
+ <select class="form-control" id="TOMtype" name="TOMtype">
+ <option value="unsigned">unsigned</option>
+ <option value="signed">signed</option>
+ </select>
+ </div>
+
+ </div>
+ <div class="form-group row ">
+ <label for="mergeCutHeight" class="col-md-3 col-form-label col-form-label-sm">mergeCutHeight:</label>
+ <div class="col-md-9">
+ <input type="text" class="form-control form-control-md" id="mergeCutHeight" value="0.25" name="mergeCutHeight">
+ </div>
+ </div>
+
+ <div class="form-group row">
+ <label for="corType" class="col-md-3 col-form-label col-form-label-sm">corType:</label>
+ <div class="col-md-9">
+ <select class="form-control col-md-9" id="corType" name="corType">
+ <option value="pearson">pearson</option>
+ <option value="bicor">bicor</option>
+ </select>
+ </div>
+
+ </div>
+ <div class="form-group">
+ <div class="text-center">
+ <input type="submit" class="btn btn-primary" value="Run WGCNA using these settings" />
+ </div>
+ </div>
+
+
+
+ </form>
+ {% endif %}
</div>
-{% endblock %}
+<div class="col-md-7">
+ <div id="terminal" class="mt-2">
+ </div>
+</div>
+</div>
+
+<script src="https://cdn.socket.io/4.2.0/socket.io.min.js" integrity="sha384-PiBR5S00EtOj2Lto9Uu81cmoyZqR57XcOna1oAuVuIEjzj0wpqDVfD0JA9eXlRsj" crossorigin="anonymous"></script>
+
+<script src="https://cdn.jsdelivr.net/npm/xterm@4.14.1/lib/xterm.min.js"></script>
+
+<script src="https://cdn.jsdelivr.net/npm/xterm-addon-attach@0.6.0/lib/xterm-addon-attach.min.js"></script>
+
+
+<script src="https://cdn.jsdelivr.net/npm/xterm-addon-fit@0.5.0/lib/xterm-addon-fit.min.js"></script>
+ <script src="https://code.jquery.com/jquery-3.5.1.js"
+ integrity="sha256-QWo7LDvxbWT2tbbQ97B53yJnYU3WhH/C8ycbRAkjPDc="
+ crossorigin="anonymous"></script>
+<script>
+// document.addEventListener('DOMContentLoaded', function() {
+let term = new Terminal({
+ cursorBlink: true,
+ lineHeight: 1.3,
+ scrollback: true,
+ macOptionIsMeta: true
+});
+
+let termDebugs = {
+ general: "Computation process to be displayed here....",
+ success: "Computation in process ......",
+ fail: "Too few phenotypes as input must be >=4"
+}
+
+const fitAddon = new FitAddon.FitAddon()
+term.loadAddon(fitAddon)
+
+term.open(document.getElementById('terminal'));
+term.setOption('theme', {
+ background: '#300a24'
+});
+term.writeln(termDebugs.general)
+
+wgcnaForm = document.querySelector("#wgcna_form")
+
+const socket = io("http://127.0.0.1:8081") //issue gn3 private
+const attachAddon = new AttachAddon.AttachAddon(socket);
+
+term.loadAddon(attachAddon);
+
+fitAddon.fit()
+term.onData((data) => {
+ term.write(data)
+})
+
+
+if (wgcnaForm) {
+} else {
+ term.writeln(termDebugs.fail)
+}
+
+socket.on("connect", () => {
+ $("#wgcna_form").append(`<input type="hidden" name="socket_id" value=${socket.id}>`);
+})
+
+socket.on("output", ({
+ data
+}) => {
+ term.writeln(data)
+})
+
+$(document).on('submit', '#wgcna_form', function(e) {
+ term.writeln(termDebugs.success)
+
+ e.preventDefault();
+ var form = $(this);
+ $.ajax({
+ type: 'POST',
+ url: '/wgcna_results',
+ data: form.serialize(),
+ success: function(data) {
+ document.write(data)
+ }
+ })
+});
+</script>
+{% endblock %} \ No newline at end of file
diff --git a/wqflask/wqflask/views.py b/wqflask/wqflask/views.py
index 5067ca0e..b0da1f21 100644
--- a/wqflask/wqflask/views.py
+++ b/wqflask/wqflask/views.py
@@ -40,8 +40,8 @@ from gn3.db.phenotypes import Probeset
from gn3.db.phenotypes import Publication
from gn3.db.phenotypes import PublishXRef
from gn3.db.phenotypes import probeset_mapping
-from gn3.db.traits import get_trait_csv_sample_data
-from gn3.db.traits import update_sample_data
+# from gn3.db.traits import get_trait_csv_sample_data
+# from gn3.db.traits import update_sample_data
from flask import current_app
@@ -79,6 +79,7 @@ from wqflask.correlation_matrix import show_corr_matrix
from wqflask.correlation import corr_scatter_plot
# from wqflask.wgcna import wgcna_analysis
# from wqflask.ctl import ctl_analysis
+from wqflask.wgcna.gn3_wgcna import run_wgcna
from wqflask.snp_browser import snp_browser
from wqflask.search_results import SearchResultPage
from wqflask.export_traits import export_search_results_csv
@@ -376,6 +377,12 @@ def wcgna_setup():
return render_template("wgcna_setup.html", **request.form)
+@app.route("/wgcna_results", methods=('POST',))
+def wcgna_results():
+ """call the gn3 api to get wgcna response data"""
+ results = run_wgcna(dict(request.form))
+ return render_template("test_wgcna_results.html", **results)
+
@app.route("/ctl_setup", methods=('POST',))
def ctl_setup():
# We are going to get additional user input for the analysis
diff --git a/wqflask/wqflask/wgcna/gn3_wgcna.py b/wqflask/wqflask/wgcna/gn3_wgcna.py
new file mode 100644
index 00000000..c4cc2e7f
--- /dev/null
+++ b/wqflask/wqflask/wgcna/gn3_wgcna.py
@@ -0,0 +1,102 @@
+"""module contains code to consume gn3-wgcna api
+and process data to be rendered by datatables
+"""
+
+import requests
+from types import SimpleNamespace
+from utility.helper_functions import get_trait_db_obs
+
+
+def fetch_trait_data(requestform):
+ """fetch trait data"""
+ db_obj = SimpleNamespace()
+ get_trait_db_obs(db_obj,
+ [trait.strip()
+ for trait in requestform['trait_list'].split(',')])
+
+ return process_dataset(db_obj.trait_list)
+
+
+def process_dataset(trait_list):
+ """process datasets and strains"""
+
+ input_data = {}
+ traits = []
+ strains = []
+
+ # xtodo unique traits and strains
+
+ for trait in trait_list:
+ traits.append(trait[0].name)
+
+ input_data[trait[0].name] = {}
+ for strain in trait[0].data:
+ strains.append(strain)
+ input_data[trait[0].name][strain] = trait[0].data[strain].value
+ # "sample_names": list(set(strains)),
+ # "trait_names": form_traits,
+ # "trait_sample_data": form_strains,
+
+ return {
+ "input": input_data,
+ "trait_names": traits,
+ "sample_names": strains
+ }
+
+
+def process_wgcna_data(response):
+ """function for processing modeigene genes
+ for create row data for datataba"""
+ mod_eigens = response["output"]["ModEigens"]
+
+ sample_names = response["input"]["sample_names"]
+
+ mod_dataset = [[sample] for sample in sample_names]
+
+ for _, mod_values in mod_eigens.items():
+ for (index, _sample) in enumerate(sample_names):
+ mod_dataset[index].append(round(mod_values[index], 3))
+
+ return {
+ "col_names": ["sample_names", *mod_eigens.keys()],
+ "mod_dataset": mod_dataset
+ }
+
+
+def process_image(response):
+ """function to process image check if byte string is empty"""
+ image_data = response["output"]["image_data"]
+ return ({
+ "image_generated": True,
+ "image_data": image_data
+ } if image_data else {
+ "image_generated": False
+ })
+
+
+def run_wgcna(form_data):
+ """function to run wgcna"""
+
+ GN3_URL = "http://127.0.0.1:8081"
+
+ wgcna_api = f"{GN3_URL}/api/wgcna/run_wgcna"
+
+ # parse form data
+
+ trait_dataset = fetch_trait_data(form_data)
+ form_data["minModuleSize"] = int(form_data["MinModuleSize"])
+
+ response = requests.post(wgcna_api, json={
+ "sample_names": list(set(trait_dataset["sample_names"])),
+ "trait_names": trait_dataset["trait_names"],
+ "trait_sample_data": list(trait_dataset["input"].values()),
+ **form_data
+
+ }
+ ).json()
+
+ return {
+ "results": response,
+ "data": process_wgcna_data(response["data"]),
+ "image": process_image(response["data"])
+ }
generated by cgit v1.2.3 (git 2.44.0) at 2024-12-03 13:19:55 +0000