Justin Guinney

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 18

Top Venues

J. Am. Medical Informatics Assoc.

AMIA

CoRR

PSB

Duke University, Durham, NC, USA (PHD)

Education History

Duke University, Durham, NC, USA

PHD

Publications

Magali Richard, Yuna Blum, Justin Guinney, Gustavo Stolovitzky, Adrien Pavão
AI Competitions and Benchmarks, Practical issues: Proposals, grant money, sponsors, prizes, dissemination, publicity. CoRR (2024)
Timothy Bergquist, Thomas Schaffter, Yao Yan, Thomas Yu, Justin Prosser, Jifan Gao, Guanhua Chen, Lukasz Charzewski, Zofia Nawalany, Ivan Brugere, Renata Retkute, Alidivinas Prusokas, Augustinas Prusokas, Yonghwa Choi, Sanghoon Lee, Junseok Choe, Inggeol Lee, Sunkyu Kim, Jaewoo Kang, Sean D. Mooney, Justin Guinney
Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine. J. Am. Medical Informatics Assoc. 31 (1) (2023)
Chao Yan, Yao Yan, Zhiyu Wan, Ziqi Zhang, Larsson Omberg, Justin Guinney, Sean D. Mooney, Bradley A. Malin
A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models. CoRR (2022)
Yao Yan, Thomas Yu, Kathleen Muenzen, Sijia Liu, Connor Boyle, George Koslowski, Jiaxin Zheng, Nicholas J. Dobbins, Clement Essien, Hongfang Liu, Larsson Omberg, Meliha Yestigen, Bradley Taylor, James A. Eddy, Justin Guinney, Sean D. Mooney, Thomas Schaffter
The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models. CoRR (2022)
Jason A. Thomas, Randi E. Foraker, Noa Zamstein, Jon D. Morrow, Philip R. O. Payne, Adam B. Wilcox, Melissa A. Haendel, Christopher G. Chute, Kenneth R. Gersing, Anita Walden, Tellen D. Bennett, David A. Eichmann, Justin Guinney, Warren A. Kibbe, Hongfang Liu, Emily R. Pfaff, Peter N. Robinson, Joel H. Saltz, Heidi Spratt, Justin Starren, Christine Suver, Chunlei Wu, Davera Gabriel, Stephanie S. Hong, Kristin Kostka, Harold P. Lehmann, Richard A. Moffitt, Michele Morris, Matvey B. Palchuk, Xiaohan Tanner Zhang, Richard L. Zhu, Benjamin R. C. Amor, Mark M. Bissell, Marshall Clark, Andrew T. Girvin, Adam M. Lee, Robert T. Miller, Kellie M. Walters, Yooree Chae, Connor Cook, Alexandra Dest, Racquel R. Dietz, Thomas Dillon, Patricia A. Francis, Rafael Fuentes, Alexis Graves, Andrew J. Neumann, Shawn T. O'Neil, Usman Sheikh, Andréa M. Volz, Elizabeth Zampino, Christopher P. Austin, Samuel Bozzette, Mariam Deacy, Nicole Garbarini, Michael G. Kurilla, Sam G. Michael, Joni L. Rutter, Meredith Temple-O'Connor, Katie Rebecca Bradwell, Amin Manna, Nabeel Qureshi, Mary Morrison Saltz, Julie A. McMurry, Carolyn Bramante, Jeremy Richard Harper, Wenndy Hernandez, Farrukh M. Koraishy, Federico Mariona, Saidulu Mattapally, Amit Saha, Satyanarayana Vedula, Yujuan Fu, Nisha Mathews, Ofer Mendelevitch
Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C). J. Am. Medical Informatics Assoc. 29 (8) (2022)
Chao Yan, Yao Yan, Ziqi Zhang, Zhiyu Wan, Justin Guinney, Sean D. Mooney, Bradley A. Malin
Assessing Machine Learning Based Generators for Synthetic Electronic Health Records: A Benchmarking. AMIA (2022)
Feifan Liu, Noha Sharafeldin, Vithal Madhira, Katie R. Bradwell, Qianqian Song, Benjamin Bates, Yu R. Shao, Jing Su, Alfred Anzalone, Timothym Bergquist, Sarah Cutrona, Ben S. Gerber, Peter N. Robinson, Justin Guinney, Umit Topaloglu
COVID-19 Mortality Prediction among Patients with Cancer Using a Large National Cohort. AMIA (2021)
Yao Yan, Thomas Schaffter, Timothy Bergquist, Thomas Yu, Justin Prosser, Sean D. Mooney, Justin Guinney
A Continuous Crowd-sourced Challenge for Benchmarking COVID-19 Health Outcome Prediction. AMIA (2021)
Zhaoping Xiong, Minji Jeon, Robert J. Allaway, Jaewoo Kang, Donghyeon Park, Jinhyuk Lee, Hwisang Jeon, Miyoung Ko, Hualiang Jiang, Mingyue Zheng, Aik Choon Tan, Xindi Guo, Multi-Targeting Drug DREAM Challenge Community, Kristen K. Dang, Alex Tropsha, Chana Hecht, Tirtha K. Das, Heather A. Carlson, Ruben Abagyan, Justin Guinney, Avner Schlessinger, Ross Cagan
Crowdsourced identification of multi-target kinase inhibitors for RET- and TAU- based disease: The Multi-Targeting Drug DREAM Challenge. PLoS Comput. Biol. 17 (9) (2021)
Justin Guinney
Preview of "Interpretable systems biomarkers predict response to immune-checkpoint inhibitors". Patterns 2 (8) (2021)
Melissa A. Haendel, Christopher G. Chute, Tellen D. Bennett, David A. Eichmann, Justin Guinney, Warren A. Kibbe, Philip R. O. Payne, Emily R. Pfaff, Peter N. Robinson, Joel H. Saltz, Heidi Spratt, Christine Suver, John Wilbanks, Adam B. Wilcox, Andrew E. Williams, Chunlei Wu, Clair Blacketer, Robert L. Bradford, James J. Cimino, Marshall Clark, Evan W. Colmenares, Patricia A. Francis, Davera Gabriel, Alexis Graves, Raju Hemadri, Stephanie S. Hong, George Hripcsak, Dazhi Jiao, Jeffrey G. Klann, Kristin Kostka, Adam M. Lee, Harold P. Lehmann, Lora Lingrey, Robert T. Miller, Michele Morris, Shawn N. Murphy, Karthik Natarajan, Matvey B. Palchuk, Usman Sheikh, Harold Solbrig, Shyam Visweswaran, Anita Walden, Kellie M. Walters, Griffin M. Weber, Xiaohan Tanner Zhang, Richard L. Zhu, Benjamin Amor, Andrew T. Girvin, Amin Manna, Nabeel Qureshi, Michael G. Kurilla, Sam G. Michael, Lili M. Portilla, Joni L. Rutter, Christopher P. Austin, Ken R. Gersing
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment. J. Am. Medical Informatics Assoc. 28 (3) (2021)
Lara Mangravite, Sean D. Mooney, Iddo Friedberg, Justin Guinney
Establishing the reliability of algorithms. PSB (2021)
Xuan Liu, Sara J. C. Gosline, Lance T. Pflieger, Pierre Wallet, Archana Iyer, Justin Guinney, Andrea H. Bild, Jeffrey T. Chang
Knowledge-based classification of fine-grained immune cell types in single-cell RNA-Seq data. Briefings Bioinform. 22 (5) (2021)
Timothy Bergquist, Yao Yan, Thomas Schaffter, Thomas Yu, Vikas Pejaver, Noah Hammarlund, Justin Prosser, Justin Guinney, Sean D. Mooney
Piloting a model-to-data approach to enable predictive analytics in health care through patient mortality prediction. J. Am. Medical Informatics Assoc. 27 (9) (2020)
Justin Guinney, Subha Madhavan, Melissa A. Haendel, Alex H. Wagner, Ratna R. Thangudu
Global research consortia and data harmonization projects drive the clinical interpretation of cancers. AMIA (2020)
Robert J. Allaway, Salvatore La Rosa, Justin Guinney, Sara J. C. Gosline
Probing the chemical-biological relationship space with the Drug Target Explorer. J. Cheminformatics 10 (1) (2018)
Elias Chaibub Neto, Brian M. Bot, Thanneer M. Perumal, Larsson Omberg, Justin Guinney, Mike Kellen, Arno Klein, Stephen H. Friend, Andrew Trister
Personalized Hypothesis Tests for Detecting Medication Response in Parkinson Disease Patients Using iPhone Sensor Data. PSB (2016)
Frederic Commo, Justin Guinney, Charles Ferté, Brian M. Bot, Celine Lefebvre, Jean-Charles Soria, Fabrice André
rCGH: a comprehensive array-based genomic profile platform for precision medicine. Bioinform. 32 (9) (2016)
Benedict Paten, Mark Diekhans, Brian J. Druker, Stephen H. Friend, Justin Guinney, Nadine Gassner, Mitchell Guttman, W. James Kent, Patrick Mantey, Adam A. Margolin, Matt Massie, Adam M. Novak, Frank A. Nothaft, Lior Pachter, David A. Patterson, Maciej Smuga-Otto, Joshua M. Stuart, Laura J. van't Veer, Barbara J. Wold, David Haussler
The NIH BD2K center for big data in translational genomics. J. Am. Medical Informatics Assoc. 22 (6) (2015)
In Sock Jang, Rodrigo Dienstmann, Adam A. Margolin, Justin Guinney
Stepwise Group Sparse Regression (SGSR): Gene-Set-Based Pharmacogenomic Predictive Models with Stepwise Selection of Functional Priors. Pacific Symposium on Biocomputing (2015)
In Sock Jang, Elias Chaibub Neto, Justin Guinney, Stephen H. Friend, Adam A. Margolin
Systematic Assessment of Analytical Methods for Drug Sensitivity Prediction from Cancer Cell Line Data. Pacific Symposium on Biocomputing (2014)
Sonja Hänzelmann, Robert Castelo, Justin Guinney
GSVA: gene set variation analysis for microarray and RNA-Seq data. BMC Bioinform. 14 (2013)
Erhan Bilal, Janusz Dutkowski, Justin Guinney, In Sock Jang, Benjamin A. Logsdon, Gaurav Pandey, Benjamin A. Sauerwine, Yishai Shimoni, Hans Kristian Moen Vollan, Brigham H. Mecham, Oscar M. Rueda, Jorg Tost, Christina Curtis, Mariano J. Alvarez, Vessela N. Kristensen, Samuel Aparicio, Anne-Lise Børresen-Dale, Carlos Caldas, Andrea Califano, Stephen H. Friend, Trey Ideker, Eric E. Schadt, Gustavo A. Stolovitzky, Adam A. Margolin
Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling. PLoS Comput. Biol. 9 (5) (2013)
Chia-Ling Huang, John Lamb, Leonid Chindelevitch, Jarek Kostrowicki, Justin Guinney, Charles DeLisi, Daniel Ziemek
Correlation set analysis: detecting active regulators in disease populations using prior causal knowledge. BMC Bioinform. 13 (2012)
Justin Guinney, Qiang Wu, Sayan Mukherjee
Estimating variable structure and dependence in multitask learning via gradients. Mach. Learn. 83 (3) (2011)
Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mukherjee
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence. J. Mach. Learn. Res. 11 (2010)
Alan P. Boyle, Justin Guinney, Gregory E. Crawford, Terrence S. Furey
F-Seq: a feature density estimator for high-throughput sequence tags. Bioinform. 24 (21) (2008)
Elena J. Edelman, Justin Guinney, Jen-Tsan A. Chi, Phillip G. Febbo, Sayan Mukherjee
Modeling Cancer Progression via Pathway Dependencies. PLoS Comput. Biol. 4 (2) (2008)
Elena J. Edelman, Alessandro Porrello, Justin Guinney, Bala Balakumaran, Andrea Bild, Phillip G. Febbo, Sayan Mukherjee
Analysis of sample set enrichment scores: assaying the enrichment of sets of genes for individual samples in genome-wide expression profiles. ISMB (Supplement of Bioinformatics) (2006)

Justin Guinney.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Justin Guinney