| Year |
Citation |
Score |
| 2024 |
Moore JH, Li X, Chang JH, Tatonetti NP, Theodorescu D, Chen Y, Asselbergs FW, Venkatesan M, Wang ZP. SynTwin: A graph-based approach for predicting clinical outcomes using digital twins derived from synthetic patients. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 29: 96-107. PMID 38160272 |
0.419 |
|
| 2023 |
Romano JD, Li H, Napolitano T, Realubit R, Karan C, Holford M, Tatonetti NP. Discovering Venom-Derived Drug Candidates Using Differential Gene Expression. Toxins. 15. PMID 37505720 DOI: 10.3390/toxins15070451 |
0.674 |
|
| 2023 |
Meyer JG, Urbanowicz RJ, Martin PCN, O'Connor K, Li R, Peng PC, Bright TJ, Tatonetti N, Won KJ, Gonzalez-Hernandez G, Moore JH. ChatGPT and large language models in academia: opportunities and challenges. Biodata Mining. 16: 20. PMID 37443040 DOI: 10.1186/s13040-023-00339-9 |
0.371 |
|
| 2022 |
Shen TH, Stauber J, Xu K, Jacunski A, Paragas N, Callahan M, Banlengchit R, Levitman AD, Desanti de Oliveira B, Beenken A, Grau MS, Mathieu E, Zhang Q, Li Y, Gopal T, ... ... Tatonetti NP, et al. Snapshots of nascent RNA reveal cell- and stimulus- specific responses to acute kidney injury. Jci Insight. PMID 35230973 DOI: 10.1172/jci.insight.146374 |
0.74 |
|
| 2021 |
Kennel PJ, Yahi A, Naka Y, Mancini DM, Marboe CC, Max K, Akat K, Tuschl T, Vasilescu EM, Zorn E, Tatonetti NP, Schulze PC. Longitudinal profiling of circulating miRNA during cardiac allograft rejection: a proof-of-concept study. Esc Heart Failure. PMID 33713567 DOI: 10.1002/ehf2.13238 |
0.746 |
|
| 2020 |
Thangaraj PM, Kummer BR, Lorberbaum T, Elkind MSV, Tatonetti NP. Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods. Biodata Mining. 13: 21. PMID 33372632 DOI: 10.1186/s13040-020-00230-x |
0.764 |
|
| 2019 |
Basile AO, Yahi A, Tatonetti NP. Artificial Intelligence for Drug Toxicity and Safety. Trends in Pharmacological Sciences. PMID 31383376 DOI: 10.1016/J.Tips.2019.07.005 |
0.796 |
|
| 2019 |
Romano JD, Tatonetti NP. Informatics and Computational Methods in Natural Product Drug Discovery: A Review and Perspectives. Frontiers in Genetics. 10: 368. PMID 31114606 DOI: 10.3389/Fgene.2019.00368 |
0.693 |
|
| 2019 |
Boland MR, Tatonetti NP. Attention Deficit-Hyperactivity Disorder and Month of School Enrollment. The New England Journal of Medicine. 380: 692-3. PMID 30785711 DOI: 10.1056/Nejmc1817539 |
0.471 |
|
| 2018 |
Polubriaginof FCG, Vanguri R, Quinnies K, Belbin GM, Yahi A, Salmasian H, Lorberbaum T, Nwankwo V, Li L, Shervey MM, Glowe P, Ionita-Laza I, Simmerling M, Hripcsak G, Bakken S, ... ... Tatonetti NP, et al. Disease Heritability Inferred from Familial Relationships Reported in Medical Records. Cell. PMID 29779949 DOI: 10.1016/J.Cell.2018.04.032 |
0.756 |
|
| 2018 |
Tatonetti NP. The Next Generation of Drug Safety Science: Coupling Detection, Corroboration, and Validation to Discover Novel Drug Effects and Drug-Drug Interactions. Clinical Pharmacology and Therapeutics. 103: 177-179. PMID 29313964 DOI: 10.1002/cpt.949 |
0.321 |
|
| 2018 |
Giangreco N, Tatonetti N. Using precision pharmacoviglance to detect developmentally-regulated adverse drug reactions: a case study with antiepileptic drugs F1000research. 7. DOI: 10.7490/F1000Research.1116203.1 |
0.378 |
|
| 2018 |
Giangreco N, Tatonetti N. Using precision pharmacovigilance to detect and evaluate antiepileptic drug associated adverse reactions in pediatric patients F1000research. 7. DOI: 10.7490/F1000Research.1115829.1 |
0.355 |
|
| 2017 |
Boland MR, Parhi P, Li L, Miotto R, Carroll R, Iqbal U, Nguyen PA, Schuemie M, You SC, Smith D, Mooney S, Ryan P, Li YJ, Park RW, Denny J, ... ... Tatonetti NP, et al. Uncovering exposures responsible for birth season - disease effects: a global study. Journal of the American Medical Informatics Association : Jamia. PMID 29036387 DOI: 10.1093/Jamia/Ocx105 |
0.529 |
|
| 2017 |
Boland MR, Polubriaginof F, Tatonetti NP. Development of A Machine Learning Algorithm to Classify Drugs Of Unknown Fetal Effect. Scientific Reports. 7: 12839. PMID 28993650 DOI: 10.1038/S41598-017-12943-X |
0.61 |
|
| 2017 |
Moskovitch R, Polubriaginof F, Weiss A, Ryan P, Tatonetti N. Procedure Prediction from Symbolic Electronic Health Records via Time Intervals Analytics. Journal of Biomedical Informatics. PMID 28823923 DOI: 10.1016/J.Jbi.2017.07.018 |
0.702 |
|
| 2017 |
Kennel PJ, Saha A, Maldonado DA, Givens R, Brunjes DL, Castillero E, Zhang X, Ji R, Yahi A, George I, Mancini DM, Koller A, Fine B, Zorn E, Colombo PC, ... Tatonetti N, et al. Serum exosomal protein profiling for the non-invasive detection of cardiac allograft rejection. The Journal of Heart and Lung Transplantation : the Official Publication of the International Society For Heart Transplantation. PMID 28789823 DOI: 10.1016/J.Healun.2017.07.012 |
0.749 |
|
| 2017 |
Boland MR, Parhi P, Gentine P, Tatonetti NP. Climate Classification is an Important Factor in Assessing Quality-of-Care Across Hospitals. Scientific Reports. 7: 4948. PMID 28694475 DOI: 10.1038/S41598-017-04708-3 |
0.503 |
|
| 2017 |
Lorberbaum T, Tatonetti NP. Reply: Combination Therapy With Ceftriaxone and Lansoprazole, Acquired Long QT Syndrome and Torsades de Pointes Risk. Journal of the American College of Cardiology. 69: 1877-1878. PMID 28385320 DOI: 10.1016/J.Jacc.2016.12.042 |
0.767 |
|
| 2017 |
Boland MR, Karczewski KJ, Tatonetti NP. Ten Simple Rules to Enable Multi-site Collaborations through Data Sharing. Plos Computational Biology. 13: e1005278. PMID 28103227 DOI: 10.1371/Journal.Pcbi.1005278 |
0.527 |
|
| 2016 |
Shameer K, Johnson KW, Yahi A, Miotto R, Li LI, Ricks D, Jebakaran J, Kovatch P, Sengupta PP, Gelijns S, Moskovitz A, Darrow B, David DL, Kasarskis A, Tatonetti NP, et al. PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 22: 276-287. PMID 27896982 |
0.773 |
|
| 2016 |
Lorberbaum T, Sampson KJ, Chang JB, Iyer V, Woosley RL, Kass RS, Tatonetti NP. Coupling Data Mining and Laboratory Experiments to Discover Drug Interactions Causing QT Prolongation. Journal of the American College of Cardiology. 68: 1756-1764. PMID 27737742 DOI: 10.1016/J.Jacc.2016.07.761 |
0.785 |
|
| 2016 |
Li L, Boland MR, Miotto R, Tatonetti NP, Dudley JT. Replicating Cardiovascular Condition-Birth Month Associations. Scientific Reports. 6: 33166. PMID 27624541 DOI: 10.1038/Srep33166 |
0.558 |
|
| 2016 |
Romano JD, Tatonetti NP. Using a Novel Ontology to Inform the Discovery of Therapeutic Peptides from Animal Venoms. Amia Joint Summits On Translational Science Proceedings. Amia Joint Summits On Translational Science. 2016: 209-18. PMID 27570672 |
0.642 |
|
| 2016 |
Boland MR, Tatonetti NP. In Search of 'Birth Month Genes': Using Existing Data Repositories to Locate Genes Underlying Birth Month-Disease Relationships. Amia Joint Summits On Translational Science Proceedings. Amia Joint Summits On Translational Science. 2016: 189-98. PMID 27570668 |
0.567 |
|
| 2016 |
Chang JB, Quinnies KM, Realubit R, Karan C, Rand JH, Tatonetti NP. A novel, rapid method to compare the therapeutic windows of oral anticoagulants using the Hill coefficient. Scientific Reports. 6: 29387. PMID 27439480 DOI: 10.1038/srep29387 |
0.606 |
|
| 2016 |
Moskovitch R, Choi H, Hripcsak G, Tatonetti N. Prognosis of Clinical Outcomes with Temporal Patterns and Experiences with One Class Feature Selection. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. PMID 27429447 DOI: 10.1109/Tcbb.2016.2591539 |
0.698 |
|
| 2016 |
Boland MR, Tatonetti NP. Investigation of 7-dehydrocholesterol reductase pathway to elucidate off-target prenatal effects of pharmaceuticals: a systematic review. The Pharmacogenomics Journal. 16: 411-29. PMID 27401223 DOI: 10.1038/Tpj.2016.48 |
0.574 |
|
| 2016 |
Gayvert KM, Dardenne E, Cheung C, Boland MR, Lorberbaum T, Wanjala J, Chen Y, Rubin M, Tatonetti NP, Rickman DS, Elemento O. A Computational Drug Repositioning Approach for Targeting Oncogenic Transcription Factors. Cell Reports. PMID 27264179 DOI: 10.1016/J.Celrep.2016.05.037 |
0.792 |
|
| 2016 |
Banda JM, Evans L, Vanguri RS, Tatonetti NP, Ryan PB, Shah NH. A curated and standardized adverse drug event resource to accelerate drug safety research. Scientific Data. 3: 160026. PMID 27193236 DOI: 10.1038/sdata.2016.26 |
0.31 |
|
| 2016 |
Nissim N, Boland MR, Tatonetti NP, Elovici Y, Hripcsak G, Shahar Y, Moskovitch R. Improving Condition Severity Classification with an Efficient Active Learning Based Framework. Journal of Biomedical Informatics. PMID 27016383 DOI: 10.1016/J.Jbi.2016.03.016 |
0.743 |
|
| 2016 |
Lorberbaum T, Sampson KJ, Woosley RL, Kass RS, Tatonetti NP. An Integrative Data Science Pipeline to Identify Novel Drug Interactions that Prolong the QT Interval. Drug Safety. PMID 26860921 DOI: 10.1007/S40264-016-0393-1 |
0.8 |
|
| 2016 |
Moskovitch R, Walsh C, Wang F, Hripcsak G, Tatonetti N. Outcomes prediction via time intervals related patterns Proceedings - Ieee International Conference On Data Mining, Icdm. 2016: 919-924. DOI: 10.1109/ICDM.2015.143 |
0.675 |
|
| 2015 |
Kidd BA, Wroblewska A, Boland MR, Agudo J, Merad M, Tatonetti NP, Brown BD, Dudley JT. Mapping the effects of drugs on the immune system. Nature Biotechnology. PMID 26619012 DOI: 10.1038/Nbt.3367 |
0.608 |
|
| 2015 |
Romano JD, Tatonetti NP. VenomKB, a new knowledge base for facilitating the validation of putative venom therapies. Scientific Data. 2: 150065. PMID 26601758 DOI: 10.1038/Sdata.2015.65 |
0.652 |
|
| 2015 |
Boland MR, Jacunski A, Lorberbaum T, Romano JD, Moskovitch R, Tatonetti NP. Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms. Wiley Interdisciplinary Reviews. Systems Biology and Medicine. PMID 26559926 DOI: 10.1002/Wsbm.1323 |
0.739 |
|
| 2015 |
Jacunski A, Dixon SJ, Tatonetti NP. Connectivity Homology Enables Inter-Species Network Models of Synthetic Lethality. Plos Computational Biology. 11: e1004506. PMID 26451775 DOI: 10.1371/Journal.Pcbi.1004506 |
0.789 |
|
| 2015 |
Boland MR, Tatonetti NP. Are All Vaccines Created Equal? Using Electronic Health Records to Discover Vaccines Associated With Clinician-Coded Adverse Events. Amia Joint Summits On Translational Science Proceedings Amia Summit On Translational Science. 2015: 196-200. PMID 26306268 |
0.528 |
|
| 2015 |
Yahi A, Tatonetti NP. A knowledge-based, automated method for phenotyping in the EHR using only clinical pathology reports. Amia Joint Summits On Translational Science Proceedings Amia Summit On Translational Science. 2015: 64-8. PMID 26306239 |
0.783 |
|
| 2015 |
Vilar S, Lorberbaum T, Hripcsak G, Tatonetti NP. Improving Detection of Arrhythmia Drug-Drug Interactions in Pharmacovigilance Data through the Implementation of Similarity-Based Modeling. Plos One. 10: e0129974. PMID 26068584 DOI: 10.1371/Journal.Pone.0129974 |
0.807 |
|
| 2015 |
Boland MR, Shahn Z, Madigan D, Hripcsak G, Tatonetti NP. Birth Month Affects Lifetime Disease Risk: A Phenome-Wide Method. Journal of the American Medical Informatics Association : Jamia. PMID 26041386 DOI: 10.1093/Jamia/Ocv046 |
0.538 |
|
| 2015 |
Boland MR, Tatonetti NP, Hripcsak G. Development and validation of a classification approach for extracting severity automatically from electronic health records. Journal of Biomedical Semantics. 6: 14. PMID 25848530 DOI: 10.1186/S13326-015-0010-8 |
0.554 |
|
| 2015 |
Lorberbaum T, Nasir M, Keiser MJ, Vilar S, Hripcsak G, Tatonetti NP. Systems pharmacology augments drug safety surveillance. Clinical Pharmacology and Therapeutics. 97: 151-8. PMID 25670520 DOI: 10.1002/Cpt.2 |
0.803 |
|
| 2015 |
Nissim N, Boland MR, Moskovitch R, Tatonetti NP, Elovici Y, Shahar Y, Hripcsak G. An active learning framework for efficient condition severity classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9105: 13-24. DOI: 10.1007/978-3-319-19551-3_3 |
0.736 |
|
| 2014 |
Vilar S, Uriarte E, Santana L, Friedman C, Tatonetti NP. State of the art and development of a drug-drug interaction large scale predictor based on 3D pharmacophoric similarity. Current Drug Metabolism. 15: 490-501. PMID 25431152 DOI: 10.2174/138920021505141126102223 |
0.334 |
|
| 2014 |
Vilar S, Uriarte E, Santana L, Lorberbaum T, Hripcsak G, Friedman C, Tatonetti NP. Similarity-based modeling in large-scale prediction of drug-drug interactions. Nature Protocols. 9: 2147-63. PMID 25122524 DOI: 10.1038/Nprot.2014.151 |
0.805 |
|
| 2014 |
Boyce RD, Ryan PB, Norén GN, Schuemie MJ, Reich C, Duke J, Tatonetti NP, Trifirò G, Harpaz R, Overhage JM, Hartzema AG, Khayter M, Voss EA, Lambert CG, Huser V, et al. Bridging islands of information to establish an integrated knowledge base of drugs and health outcomes of interest. Drug Safety. 37: 557-67. PMID 24985530 DOI: 10.1007/S40264-014-0189-0 |
0.303 |
|
| 2014 |
Karczewski KJ, Snyder M, Altman RB, Tatonetti NP. Coherent Functional Modules Improve Transcription Factor Target Identification, Cooperativity Prediction, and Disease Association Plos Genetics. 10. PMID 24516403 DOI: 10.1371/Journal.Pgen.1004122 |
0.402 |
|
| 2013 |
Behr ER, Ritchie MD, Tanaka T, Kääb S, Crawford DC, Nicoletti P, Floratos A, Sinner MF, Kannankeril PJ, Wilde AA, Bezzina CR, Schulze-Bahr E, Zumhagen S, Guicheney P, Bishopric NH, ... ... Tatonetti NP, et al. Genome wide analysis of drug-induced torsades de pointes: lack of common variants with large effect sizes. Plos One. 8: e78511. PMID 24223155 DOI: 10.1371/Journal.Pone.0078511 |
0.426 |
|
| 2013 |
Sun X, Vilar S, Tatonetti NP. High-throughput methods for combinatorial drug discovery. Science Translational Medicine. 5: 205rv1. PMID 24089409 DOI: 10.1126/scitranslmed.3006667 |
0.344 |
|
| 2013 |
Jacunski A, Tatonetti NP. Connecting the dots: applications of network medicine in pharmacology and disease. Clinical Pharmacology and Therapeutics. 94: 659-69. PMID 23995266 DOI: 10.1038/Clpt.2013.168 |
0.768 |
|
| 2013 |
Tatonetti NP, Denny JC, Altman RB. Response to 'Use of an algorithm for identifying hidden drug-drug interactions in adverse event reports' by Gooden et al. Journal of the American Medical Informatics Association : Jamia. 20: 591. PMID 23876381 DOI: 10.1136/Amiajnl-2012-001603 |
0.456 |
|
| 2013 |
Daneshjou R, Tatonetti NP, Karczewski KJ, Sagreiya H, Bourgeois S, Drozda K, Burmester JK, Tsunoda T, Nakamura Y, Kubo M, Tector M, Limdi NA, Cavallari LH, Perera M, Johnson JA, et al. Pathway analysis of genome-wide data improves warfarin dose prediction. Bmc Genomics. 14: S11. PMID 23819817 DOI: 10.1186/1471-2164-14-S3-S11 |
0.386 |
|
| 2013 |
Perera MA, Cavallari LH, Limdi NA, Gamazon ER, Konkashbaev A, Daneshjou R, Pluzhnikov A, Crawford DC, Wang J, Liu N, Tatonetti N, Bourgeois S, Takahashi H, Bradford Y, Burkley BM, et al. Genetic variants associated with warfarin dose in African-American individuals: a genome-wide association study. Lancet. 382: 790-6. PMID 23755828 DOI: 10.1016/S0140-6736(13)60681-9 |
0.42 |
|
| 2013 |
Vilar S, Uriarte E, Santana L, Tatonetti NP, Friedman C. Detection of drug-drug interactions by modeling interaction profile fingerprints. Plos One. 8: e58321. PMID 23520498 DOI: 10.1371/Journal.Pone.0058321 |
0.338 |
|
| 2013 |
White RW, Tatonetti NP, Shah NH, Altman RB, Horvitz E. Web-scale pharmacovigilance: listening to signals from the crowd. Journal of the American Medical Informatics Association : Jamia. 20: 404-8. PMID 23467469 DOI: 10.1136/amiajnl-2012-001482 |
0.494 |
|
| 2012 |
Tatonetti NP, Ye PP, Daneshjou R, Altman RB. Data-driven prediction of drug effects and interactions. Science Translational Medicine. 4: 125ra31. PMID 22422992 DOI: 10.1126/scitranslmed.3003377 |
0.55 |
|
| 2012 |
Karczewski KJ, Tirrell RP, Cordero P, Tatonetti NP, Dudley JT, Salari K, Snyder M, Altman RB, Kim SK. Interpretome: a freely available, modular, and secure personal genome interpretation engine. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 339-50. PMID 22174289 |
0.37 |
|
| 2012 |
Tatonetti NP, Fernald GH, Altman RB. A novel signal detection algorithm for identifying hidden drug-drug interactions in adverse event reports Journal of the American Medical Informatics Association. 19: 79-85. PMID 21676938 DOI: 10.1136/amiajnl-2011-000214 |
0.487 |
|
| 2011 |
Karczewski KJ, Tatonetti NP, Landt SG, Yang X, Slifer T, Altman RB, Snyder M. Cooperative transcription factor associations discovered using regulatory variation. Proceedings of the National Academy of Sciences of the United States of America. 108: 13353-8. PMID 21828005 DOI: 10.1073/Pnas.1103105108 |
0.373 |
|
| 2011 |
Tatonetti NP, Denny JC, Murphy SN, Fernald GH, Krishnan G, Castro V, Yue P, Tsao PS, Tsau PS, Kohane I, Roden DM, Altman RB. Detecting drug interactions from adverse-event reports: interaction between paroxetine and pravastatin increases blood glucose levels. Clinical Pharmacology and Therapeutics. 90: 133-42. PMID 21613990 DOI: 10.1038/Clpt.2011.83 |
0.503 |
|
| 2010 |
Tatonetti NP, Dudley JT, Sagreiya H, Butte AJ, Altman RB. An integrative method for scoring candidate genes from association studies: application to warfarin dosing. Bmc Bioinformatics. 11: S9. PMID 21044367 DOI: 10.1186/1471-2105-11-S9-S9 |
0.479 |
|
| 2010 |
Garten Y, Tatonetti NP, Altman RB. Improving the prediction of pharmacogenes using text-derived drug-gene relationships. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 305-14. PMID 19908383 DOI: 10.1142/9789814295291_0033 |
0.485 |
|
| 2009 |
Tatonetti NP, Liu T, Altman RB. Predicting drug side-effects by chemical systems biology. Genome Biology. 10: 238. PMID 19723347 DOI: 10.1186/gb-2009-10-9-238 |
0.476 |
|
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