Combining multiple knowledge sources: A case study of drug induced liver injury

Casey L. Overby, Alejandro Flores, Guillermo Palma, Maria Esther Vidal, Elena Zotkina, Louiqa Raschid

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Many classes of drugs, their interaction pathways and gene targets are known to play a role in drug induced liver injury (DILI). Pharmacogenomics research to understand the impact of genetic variation on how patients respond to drugs may help explain some of the variability observed in the occurrence of adverse drug reactions (ADR) such as DILI. The goal of this project is to combine rich genotype and phenotype data to better understand these scenarios. We consider similarities between drugs, similarities between drug targets, drug-pathway-gene interactions, etc. Links to the patients will include patient drug usage, ADR, disease outcomes, etc. We will develop appropriate protocols to create these rich datasets and methods to identify patterns in graphs for explanation and prediction.

Original languageEnglish (US)
Title of host publicationData Integration in the Life Sciences - 11th International Conference, DILS 2015, Proceedings
EditorsJose-Luis Ambite, Ashish N. Naveen
PublisherSpringer Verlag
Pages3-12
Number of pages10
ISBN (Print)9783319218427
DOIs
StatePublished - 2015
Event11th International Conference on Data Integration in the Life Sciences, DILS 2015 - Los Angeles, United States
Duration: Jul 9 2015Jul 10 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9162
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other11th International Conference on Data Integration in the Life Sciences, DILS 2015
CountryUnited States
CityLos Angeles
Period7/9/157/10/15

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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