Mining Gene Relationships from PubMed using Custom Ontologies
+
Mining PubMed for Gene Relationships using Custom Ontologies
@@ -14,11 +14,12 @@
- As an example, we present a curated ontology for drug addiction with over 300 keywords organized into seven categories.
- A user account (free) is needed to create custom ontologies and save the search results.
+ As an example, we present a curated ontology for drug addiction with over 300 keywords organized into seven categories.
+ Furthermore, deep learning is used to distinguish automatically the sentences describing systemic stress from those describing cellular stress.
+ A user account (free) is needed to create custom ontologies and save the search results.
-
{%if ("name" not in session) %}
By default, the addiction ontology is used. Custom ontologies can be created in user accounts.
@@ -34,14 +35,18 @@
{% else %}
Welcome back, {{session['name']}}. Your previous searches
and custom ontologies are available from the links.
-
+
+ Please select an ontology to use for the new search
-
- The {{ontol}} ontology is selected. Please choose categories to be included in the search.
- Expect a longer wait time when you include Human GWAS category.
+
+ The {{ontol}} ontology is selected. Please choose categories to be included in the search.
+ Expect a longer wait time when you include GWAS category.