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ORCID26th PSB 2021: Kohala Coast, Hawaii, USA
- Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Marylyn D. Ritchie, Tiffany Murray, Teri E. Klein:
Biocomputing 2021: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 3-7, 2021. WorldScientific 2020, ISBN 9789811232695 - Peter Washington, Serena Yeung, Bethany Percha, Nicholas P. Tatonetti, Jan T. Liphardt, Dennis P. Wall:
Achieving Trustworthy Biomedical Data Solutions. - Peter Washington, Émilie Leblanc
, Kaitlyn Dunlap, Yordan Penev, Maya Varma, Jae-Yoon Jung, Brianna Sierra Chrisman, Min Woo Sun, Nate Tyler Stockham, Kelley Marie Paskov, Haik Kalantarian, Catalin Voss, Nick Haber, Dennis P. Wall:
Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder. - Junjie Chen, Wendy Hui Wang, Xinghua Shi:
Differential Privacy Protection Against Membership Inference Attack on Machine Learning for Genomic Data. - Dov Greenbaum:
Making Compassionate Use More Useful: Using real-world data, real-world evidence and digital twins to supplement or supplant randomized controlled trials. - Mary Regina Boland, Karin Verspoor, Maricel G. Kann, Su Golder, Lisa Levine, Karen O'Conner, Natalia Villanueva-Rosales, Graciela Gonzalez-Hernandez:
Advanced Methods for Big Data Analytics in Women's Health. - Irene Y. Chen, Emily Alsentzer, Hyesun Park, Richard Thomas, Babina Gosangi, Rahul Gujrathi, Bharti Khurana:
Intimate Partner Violence and Injury Prediction From Radiology Reports. - Silvia P. Canelón, Mary Regina Boland:
Not All C-sections Are the Same: Investigating Emergency vs. Elective C-section deliveries as an Adverse Pregnancy Outcome. - Ahmet Mert Hacialiefendioglu, Serhan Yilmaz, Mehmet Koyutürk, Gunnur Karakurt:
Co-occurrence Patterns of Intimate Partner Violence. - Gil Alterovitz, Wei-Lun Alterovitz, Gail H. Cassell, Lixin Zhang, A. Keith Dunker:
AI for infectious disease modelling and therapeutics. - Katherine J. Sullivan, Marisha Burden, Angela Keniston, Juan M. Banda, Lawrence E. Hunter:
Characterization of Anonymous Physician Perspectives on COVID-19 Using Social Media Data. - Bhavish Dinakar, Mayla Boguslav, Carsten Görg, Deendayal Dinakarpandian:
Semantic Changepoint Detection for Finding Potentially Novel Research Publications. - Samuel Sledzieski, Chengchen Zhang, Ion I. Mandoiu, Mukul S. Bansal:
TreeFix-TP: Phylogenetic Error-Correction for Infectious Disease Transmission Network Inference. - Anish Mudide, Gil Alterovitz:
SARS-CoV-2 Drug Discovery based on Intrinsically Disordered Regions. - Gerard Kian-Meng Goh, A. Keith Dunker, James A. Foster, Vladimir N. Uversky:
Feasibility of the vaccine development for SARS-CoV-2 and other viruses using the shell disorder analysis. - Meghana Kshirsagar, Nure Tasnina, Michael D. Ward, Jeffrey N. Law, T. M. Murali, Juan M. Lavista Ferres, Gregory R. Bowman, Judith Klein-Seetharaman:
Protein sequence models for prediction and comparative analysis of the SARS-CoV-2 - human interactome. - Olga Afanasiev, Joanne Berghout, Steven E. Brenner, Martha L. Bulyk, Dana C. Crawford, Jonathan H. Chen, Roxana Daneshjou, Lukasz Kidzinski:
Computational Challenges and Artificial Intelligence in Precision Medicine. - Guanlan Dong, Michael C. Wendl, Bin Zhang, Li Ding, Kuan-Lin Huang:
AeQTL: eQTL analysis using region-based aggregation of rare genomic variants. - Gregory McInnes, Russ B. Altman:
Drug Response Pharmacogenetics for 200, 000 UK Biobank Participants. - Raquel Aoki, Martin Ester:
ParKCa: Causal Inference with Partially Known Causes. - Michael B. Mayhew, Elizabeth Tran, Kirindi Choi, Uros Midic, Roland Lüthy, Nandita Damaraju, Ljubomir J. Buturovic:
Optimization of Genomic Classifiers for Clinical Deployment: Evaluation of Bayesian Optimization to Select Predictive Models of Acute Infection and In-Hospital Mortality. - Kailas Vodrahalli, Roxana Daneshjou, Roberto A. Novoa, Albert Chiou, Justin M. Ko, James Zou:
TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos. - Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew B. A. McDermott, Irene Y. Chen, Marzyeh Ghassemi:
CheXclusion: Fairness gaps in deep chest X-ray classifiers. - Anmol Singh, Yizhen Zhong, Layan Nahlawi, Sehwan Park, Tanima De, Cristina Alarcon, Minoli Perera:
Incorporation of DNA methylation into eQTL mapping in African Americans. - Brett K. Beaulieu-Jones, Christian Darabos, Dokyoon Kim, Anurag Verma, Shilpa Nadimpalli Kobren:
Innovative methodological approaches for data integration to derive patterns across diverse, large-scale biomedical datasets. - Arda Durmaz, Tim A. D. Henderson, Gürkan Bebek:
Frequent Subgraph Mining of Functional Interaction Patterns Across Multiple Cancers. - Samuel G. Finlayson, Matthew B. A. McDermott, Alex V. Pickering, Scott L. Lipnick, Isaac S. Kohane:
Cross-modal representation alignment of molecular structure and perturbation-induced transcriptional profiles. - Joshua J. Levy, Christian Haudenschild, Clark Barwick, Brock C. Christensen, Louis J. Vaickus:
Topological Feature Extraction and Visualization of Whole Slide Images using Graph Neural Networks. - Madeleine Scott, Maneesha Limaye, Steven Schaffert, Robert West, Michael G. Ozawa, Pauline Chu, Viswam S. Nair, Albert C. Koong, Purvesh Khatri:
A multi-scale integrated analysis identifies KRT8 as a pan-cancer early biomarker. - Kristin Passero, Shefali Setia Verma, Kimberly McAllister, Arjun K. Manrai, Chirag J. Patel, Molly A. Hall:
What about the environment? Leveraging multi-omic datasets to characterize the environment's role in human health. - Morris A. Aguilar, John A. S. McGuigan, Molly A. Hall:
Semi-automated NMR Pipeline for Environmental Exposures: New Insights on the Metabolomics of Smokers versus Non-smokers. - Christos A. Makridis, Anish Mudide, Gil Alterovitz:
How Much Does the (Social) Environment Matter? Using Artificial Intelligence to Predict COVID-19 Outcomes with Socio-demographic Data. - Lenore J. Cowen, Judith Klein-Seetharaman, Hollie Putnam:
Bioinformatics of corals: Investigating heterogeneous omics data from coral holobionts for insight into reef health and resillience. - Lara M. Mangravite, Sean D. Mooney, Iddo Friedberg, Justin Guinney:
Establishing the reliability of algorithms. - Mary Goldman, Nils Gehlenborg:
Making Tools that People Will Use: User-Centered Design in Computational Biology Research. - Carly A. Bobak, Marek Svoboda, Kristine A. Giffin, Dennis P. Wall, Jason H. Moore:
Raising the stakeholders: Improving patient outcomes through interprofessional collaborations in AI for healthcare. - Dokyoon Kim, Ju Han Kim, Jason H. Moore:
Translational Bioinformatics: Integrating Electronic Health Record and Omics Data.
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last updated on 2024-06-18 21:24 CEST by the dblp team
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