Kelly Regan-Fendt

Orcid: 0000-0002-7033-6787

According to our database1, Kelly Regan-Fendt authored at least 13 papers between 2012 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Diffusion mapping of drug targets on disease signaling network elements reveals drug combination strategies.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

2017
MD-Miner: a network-based approach for personalized drug repositioning.
BMC Syst. Biol., 2017

Retrospective Analysis of EHR and Administrative Data for Drug Repurposing Hypothesis Evaluation in Melanoma.
Proceedings of the Summit on Clinical Research Informatics, 2017

2016
'RE: fine drugs': an interactive dashboard to access drug repurposing opportunities.
Database J. Biol. Databases Curation, 2016

Session Introduction.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

Use of Administrative Data to Predict Risk of Liver Disease.
Proceedings of the Summit on Clinical Research Informatics, 2016

Automatic data source identification for clinical trial eligibility criteria resolution.
Proceedings of the AMIA 2016, 2016

2015
Conceptual Knowledge Discovery in Databases for Drug Combinations Predictions in Malignant Melanoma.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

Domain Analysis of Integrated Data to Reduce Cost Associated with Liver Disease.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

2013
Research and applications: Network models of genome-wide association studies uncover the topological centrality of protein interactions in complex diseases.
J. Am. Medical Informatics Assoc., 2013

2012
Single Sample Expression-Anchored Mechanisms Predict Survival in Head and Neck Cancer.
PLoS Comput. Biol., 2012

Translating Mendelian and complex inheritance of Alzheimer's disease genes for predicting unique personal genome variants.
J. Am. Medical Informatics Assoc., 2012

Towards Mechanism Classifiers: Expression-anchored Gene Ontology Signature Predicts Clinical Outcome in Lung Adenocarcinoma Patients.
Proceedings of the AMIA 2012, 2012


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