Arjun P. Athreya
Arjun P. Athreya
Mayo Clinic Asst. Professor and Prin. Data Scientist
Verified email at mayo.edu - Homepage
Title
Cited by
Cited by
Year
Network self-organization in the Internet of Things
AP Athreya, P Tague
2013 IEEE international workshop of internet-of-things networking and …, 2013
732013
Designing for self-configuration and self-adaptation in the Internet of Things
AP Athreya, B DeBruhl, P Tague
9th IEEE International Conference on Collaborative Computing: Networking …, 2013
412013
Survivable smart grid communication: Smart-meters meshes to the rescue
AP Athreya, P Tague
2012 International Conference on Computing, Networking and Communications …, 2012
272012
Beta-defensin 1, aryl hydrocarbon receptor and plasma kynurenine in major depressive disorder: metabolomics-informed genomics
D Liu, B Ray, DR Neavin, J Zhang, AP Athreya, JM Biernacka, WV Bobo, ...
Translational psychiatry 8 (1), 1-13, 2018
222018
Pharmacogenomics‐Driven Prediction of Antidepressant Treatment Outcomes: A Machine‐Learning Approach With Multi‐trial Replication
AP Athreya, D Neavin, T Carrillo‐Roa, M Skime, J Biernacka, MA Frye, ...
Clinical Pharmacology & Therapeutics 106 (4), 855-865, 2019
192019
Towards secure multi-path routing for wireless mobile ad-hoc networks: a cross-layer strategy
AP Athreya, P Tague
2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and …, 2011
182011
Augmentation of physician assessments with multi-omics enhances predictability of drug response: a case study of major depressive disorder
A Athreya, R Iyer, D Neavin, L Wang, R Weinshilboum, ...
IEEE computational intelligence magazine 13 (3), 20-31, 2018
132018
Resistance is not futile: Detecting ddos attacks without packet inspection
AP Athreya, X Wang, YS Kim, Y Tian, P Tague
International Workshop on Information Security Applications, 174-188, 2013
112013
Model-based unsupervised learning informs metformin-induced cell-migration inhibition through an AMPK-independent mechanism in breast cancer
AP Athreya, KR Kalari, J Cairns, AJ Gaglio, QF Wills, N Niu, ...
Oncotarget 8 (16), 27199, 2017
102017
Self-organization of a mesh hierarchy for smart grid monitoring in outage scenarios
AP Athreya, P Tague
2013 IEEE PES Innovative Smart Grid Technologies Conference (ISGT), 1-6, 2013
102013
Efficient and scalable workflows for genomic analyses
SS Banerjee, AP Athreya, LS Mainzer, CV Jongeneel, WM Hwu, ...
Proceedings of the ACM International Workshop on Data-Intensive Distributed …, 2016
82016
Translating an object-oriented data model to a YANG data model
AP Athreya, LA Clemm, J Tjong, P Sanampudi
US Patent 8,838,653, 2014
72014
Elastic Clustering of Vehicles Equipped with Broadband Wireless Communication Devices
R Koodli, AP Athreya, A Oswal
US Patent App. 13/708,399, 2014
72014
Machine learning helps identify new drug mechanisms in triple-negative breast cancer
AP Athreya, AJ Gaglio, J Cairns, KR Kalari, RM Weinshilboum, L Wang, ...
IEEE transactions on nanobioscience 17 (3), 251-259, 2018
52018
Data-driven longitudinal modeling and prediction of symptom dynamics in major depressive disorder: integrating factor graphs and learning methods
AP Athreya, SS Banerjee, D Neavin, R Kaddurah-Daouk, AJ Rush, ...
2017 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2017
52017
Unsupervised single-cell analysis in triple-negative breast cancer: A case study
AP Athreya, AJ Gaglio, ZT Kalbarczyk, RK Iyer, J Cairns, KR Kalari, ...
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
52016
Energy-governed resilient networked systems
AP Athreya, H Chan-Maestas, E Katz, P Tague, B Iannucci
2014 IEEE 11th Consumer Communications and Networking Conference (CCNC), 56-61, 2014
22014
Decomposing genomics algorithms: Core computations for accelerating genomics analyses
AP Athreya, SS Banerjee, CV Jongeneel, ZT Kalbarczyk, RK Iyer
Technical Report UILU-ENG-14-2201, Coordinated Science Laboratory Technical …, 2014
22014
Real-world experiences with acupuncture among breast cancer survivors: a cross-sectional survey study
J Zayas, KJ Ruddy, JE Olson, FJ Couch, BA Bauer, MJ Mallory, P Yang, ...
Supportive Care in Cancer, 1-6, 2020
12020
Integration of machine learning and pharmacogenomic biomarkers for predicting response to antidepressant treatment: can computational intelligence be used to augment clinical …
AP Athreya, R Iyer, L Wang, RM Weinshilboum, WV Bobo
Pharmacogenomics 20 (14), 983-988, 2019
12019
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