Biorelate

ACCELERATE YOUR RESEARCH INTELLIGENCE

Using Cause-and-Effect Knowledge Graphs to find Genetic Drivers for ALS

This case study demonstrates: Drug development hinges on identifying genetic disease factors. Amyotrophic lateral sclerosis (ALS) is a motor neuron disease, with SOD1, C9ORF72, TARDBP, and FUS as common genetic culprits. Biorelate’s text mining extracts cause-and-effect relationships, forming a comprehensive knowledge graph (KG). We use this KG to rank potential ALS genetic drivers, revealing both established and novel candidates. Traversing the KG identifies pathways linking ALS and potential novel genetic links like ATP13A2.

First name

Last name

Work Email

Company

Job function

.invalid-option { border: 2px solid red; }

Country

How can we help? (optional)

By submitting this form, you submit your information to Biorelate, who may use it to communicate with you regarding your request via the form and their other services. You may unsubscribe from these communications at any time by clicking the Unsubscribe button at the bottom of our marketing emails or contacting us at info@biorelate.com.

Please kindly fill out the form and a member of our team will be touching base with you shortly.

Thank you for your request. We will be in touch via email.

Oops! Something went wrong while submitting the form.

Request a demo

Using Cause-and-Effect Knowledge Graphs to find Genetic Drivers for ALS