David J. Wild

The paper builds a knowledge graph analytics platform integrating LINCS and IDG to identify and prioritize novel drug targets for Parkinson's disease.

TIGA aggregates and ranks gene-trait associations from GWAS data to prioritize drug targets using statistical and bibliometric evidence.

This paper uses the ABC model of literature-based discovery to identify a rehabilitation therapy, HABIT, for stroke, which shows clinical improvement in upper limb function.

Netpredictor predicts missing links in bipartite and unipartite networks using Random Walk with Restart and Network inference algorithms.