How Project Rephetio used Neo4j to predict drug repurposing

This meetup will explore Hetionet (https://neo4j.het.io), a public Neo4j database that encodes biomedical knowledge.

Hetionet v1.0 contains 47,031 nodes of 11 types and 2,250,197 relationships of 24 types.

Project Rephetio applied Hetionet to predict new uses for existing compounds, an act called drug repurposing.

We'll discuss the Cypher implementation of the algorithms used for relationship prediction on hetnets (networks with multiple node and relationship types).

We'll be taking questions live during the session but if you have any before hand be sure to post them in the #neo4j-online-meetup channel of the Neo4j users slack (http://www.neo4j.com/slack).

We'll be hosting this session on YouTube live.

https://www.youtube.com/watch?v=sNqp0IZQkB0

Time
09:00 PDT (UTC - 8 hours)
12:00 EST (UTC - 5 hours)
17:00 UTC
18:00 CEST (UTC + 1 hour)

About The Speaker
Daniel Himmelstein, a data scientist at the University of Pennsylvania, will lead the meetup.

Previously, Daniel has discussed Project Rephetio at GraphConnect 2016 (https://youtu.be/jwhAlNgjvMA) and on the Graphistania podcast (http://blog.bruggen.com/2016/08/podcast-interview-with-daniel.html).

In addition, an introductory GraphGist (https://portal.graphgist.org/graph_gists/drug-repurposing-by-hetnet-relationship-prediction-a-new-hope) on the project won the Open/Government Data category of the 2016 GraphGist Challenge.