updated to latest info

index.html

@@ -6,18 +6,23 @@ <h1>netDx</h1>
 
 netDx is a <b>patient classifier</b> algorithm that can integrate several types of patient data into a single model. It does this by converting each type of data into a view of patient similarity; i.e. by converting the data into a graph in which more similar patients are tightly linked, while less similar patients are not so tightly linked.
 
-<a href="http://bioconductor.org/packages/release/bioc/html/netDx.html">netDx is now in BioConductor!</a>
+<p></p>
+<h3><a href="http://bioconductor.org/packages/release/bioc/html/netDx.html">netDx is now in BioConductor!</a></h3>
 Go here to see vignettes (worked examples) and install software.
 
-<b>Reference:</b> 
+<p></p>
+<b>Reference:</b> <br>
 <b>Methods paper:</b>Pai S, Hui S, Isserlin R, Shah MA, Kaka H, GD Bader (2019) 
  <a href="https://www.embopress.org/doi/full/10.15252/msb.20188497">
 	netDx: interpretable patient classification using integrated patient similarity networks.</a>
 	<i>Molecular Systems Biology</i> <b>15</b>, e8497</a><br>
 <b>Software update:</b>Pai S, Weber P, Isserlin R, Kaka H, Hui S, Shah MA, Giudice L, Giugno R, Nøhr AK, Baumbach J, GD Bader
 <a href="https://f1000research.com/articles/9-1239">netDx: Software for building interpretable patient classifiers by multi-'omic data integration using patient similarity networks
 </a> <i>F1000Res.</i><b>9</b>:1239.
+<b>**</b><i>netDx is under active development to make the workflow easier to use. The vignettes on the BioConductor page (above) are the latest source of information.</i>
 <p></p>
+
 <b>Questions?</b>
 Contact Shraddha Pai, <a href="mailto:shraddha.pai@utoronto.ca">shraddha.pai@utoronto.ca</a>
+<i>This page last updated 22 Sep 2021.</i>
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