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Papers citing Big data need big theory too

  1. Bridging the gaps at the physics–chemistry–biology interface

    Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · 2016

    Peter V. Coveney, Jean Pierre Boon, Sauro Succi

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  2. Francis Bacon, Karl Popper, Michael Polanyi, and Modern Experimental Biology

    Boston studies in the philosophy of science · 2017

    Ute Deichmann

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  3. Genetic studies of alcohol dependence in the context of the addiction cycle

    Neuropharmacology · 2017

    Matthew T. Reilly, Antonio Noronha, David A Goldman, George F. Koob

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  4. Gene expression profiling in the human alcoholic brain

    Neuropharmacology · 2017

    Anna S. Warden, Roy Dayne Mayfield

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  5. The Importance of Nutrition in a Conceptual Framework of Frailty Syndrome

    Current Nutrition Reports · 2017

    Mariana Staut Zukeran, Sandra María Lima Ribeiro

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  6. Identicação de sistemas neurais com redes bayesianas dinâmicas e transferência de entropia

    Venue not supplied by source · 2017

    Fernando Pasquini Santos

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  7. Big Data to Big Knowledge for Next Generation Medicine: A Data Science Roadmap

    Studies in big data · 2017

    Tavpritesh Sethi

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  8. The Role of Multiscale Protein Dynamics in Antigen Presentation and T Lymphocyte Recognition

    Frontiers in Immunology · 2017

    R. Charlotte Eccleston, Shunzhou Wan, Neil Dalchau, Peter V. Coveney

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  9. Single-Subject Studies in Translational Nutrition Research

    Annual Review of Nutrition · 2017

    Nicholas J. Schork, Laura H. Goetz

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  10. Big Data approaches in social and behavioral science: four key trade-offs and a call for integration

    Current Opinion in Behavioral Sciences · 2017

    Jasmin Mahmoodi, Marius Leckelt, Maarten Herman Walter van Zalk, Katharina Geukes, Mitja D. Back

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  11. Natural and Artificial Intelligence in Neurosurgery: A Systematic Review

    Neurosurgery · 2017

    Joeky T. Senders, Omar M. Arnaout, Aditya V. Karhade, Hormuzdiyar H. Dasenbrock, William Brian Gormley, Marike L. D. Broekman, Timothy Richard Smith

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  12. Compressibility, Laws of Nature, Initial Conditions and Complexity

    Foundations of Physics · 2017

    Sergio Chibbaro, Angelo Vulpiani

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  13. Evidence amalgamation, plausibility, and cancer research

    Synthese · 2017

    Marta Bertolaso, Fabio Sterpetti

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  14. Statistical physics and representations in real and artificial neural networks

    Physica A Statistical Mechanics and its Applications · 2017

    Simona Cocco, Rémi Monasson, Lorenzo Posani, Sophie Rosay, Jérôme Tubiana

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  15. Clinical judgement in the era of big data and predictive analytics

    Journal of Evaluation in Clinical Practice · 2017

    Benjamin Hull Chin-Yee, Ross E. G. Upshur

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  16. MetaQSAR: An Integrated Database Engine to Manage and Analyze Metabolic Data

    Journal of Medicinal Chemistry · 2017

    Alessandro Pedretti, Angelica Mazzolari, Giulio Vistoli, Bernard Testa

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  17. Chemistry

    Springer eBooks · 2018

    Colin Bird, Jeremy Graham Frey

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  18. Big Data in Computational Toxicology: Challenges and Opportunities

    Computational Toxicology · 2018

    Linlin Zhao, Hao Zhu

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  19. Developing WHO guidelines: Time to formally include evidence from mathematical modelling studies

    F1000Research · 2018

    Matthias Egger, Leigh Francis Johnson, Christian Lorenz Althaus, Anna Schoeni, Georgia Salanti, Nicola N Low, Susan L. Norris

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  20. Big data framework for students' academic performance prediction: A systematic literature review

    IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) · 2018

    Sri Murugarasan Muthukrishnan, Norizan Mohd Yasin, Mallika Govindasamy

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  21. Go to field, look around, measure and then run models

    Urban Climate · 2018

    Erik Velasco

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  22. Uncertainty Quantification in Alchemical Free Energy Methods

    Journal of Chemical Theory and Computation · 2018

    Agastya P. Bhati, Shunzhou Wan, Yuan Hu, Brad S. Sherborne, Peter V. Coveney

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  23. Adaptive multiscale predictive modelling

    Acta Numerica · 2018

    John Tinsley Oden

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  24. Opportunities and challenges for big data ornithology

    Ornithological Applications · 2018

    Frank A. La Sorte, Christopher A. Lepczyk, Jessica Burnett, Allen H. Hurlbert, Morgan W. Tingley, Benjamin Zuckerberg

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  25. Projection-based model reduction: Formulations for physics-based machine learning

    Computers & Fluids · 2018

    Renee Swischuk, Laura Mainini, Benjamin Peherstorfer, Karen E. Willcox

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  26. Prediction of Chemical Reactions Using Statistical Models of Chemical Knowledge

    ChemRxiv · 2018

    Philipp‐Maximilian Jacob, Alexei A. Lapkin

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  27. Prediction of Chemical Reactions Using Statistical Models of Chemical Knowledge

    ChemRxiv · 2018

    Philipp‐Maximilian Jacob, Alexei A. Lapkin

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  28. A Review of Machine Learning Applications to Coastal Sediment Transport and Morphodynamics

    Venue not supplied by source · 2018

    Evan B. Goldstein, Giovanni Coco, Nathaniel G. Plant

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  29. Mathematical models of tumor cell proliferation: A review of the literature

    Expert Review of Anticancer Therapy · 2018

    Angela M. Jarrett, Ernesto A. B. F. Lima, David A. Hormuth, Matthew T. McKenna, Xinzeng Feng, David A. Ekrut, Anna Claudia M. Resende, Amy Brock, Thomas E. Yankeelov

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  30. Quantifying the value of surveillance data for improving model predictions of lymphatic filariasis elimination

    PLoS neglected tropical diseases · 2018

    Edwin Michael, Swarnali Sharma, Morgan E. Smith, Panayiota Touloupou, Federica Giardina, Joaquín M. Prada, Wilma A. Stolk, T. Déirdre Hollingsworth, Sake J. de Vlas

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  31. Big Data in Head and Neck Cancer

    Current Treatment Options in Oncology · 2018

    Carlo Resteghini, Annalisa Trama, Elio Borgonovi, Hykel Hosni, Giovanni Corrao, Ester M. Orlandi, Giuseppina Calareso, Loris De Cecco, Cesare Piazza, Luca Tommaso Mainardi, Lisa Francesca Licitra

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  32. Theoretical underpinnings of research in strategic marketing: a commentary

    Journal of the Academy of Marketing Science · 2018

    Rajan Varadarajan

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  33. On the Ethics of Biodiversity Models, Forecasts and Scenarios

    Asian Bioethics Review · 2018

    Pierre Mazzéga

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  34. Ensemble-Based Replica Exchange Alchemical Free Energy Methods: The Effect of Protein Mutations on Inhibitor Binding

    Journal of Chemical Theory and Computation · 2018

    Agastya P. Bhati, Shunzhou Wan, Peter V. Coveney

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  35. Big Data in Discourse

    Springer eBooks · 2019

    María Cristina Paganoni

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  36. Hope, hype and harms of Big Data

    Internal Medicine Journal · 2019

    Ian A Scott

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  37. Three Problems with Big Data and Artificial Intelligence in Medicine

    Perspectives in biology and medicine · 2019

    Benjamin Hull Chin-Yee, Ross E. G. Upshur

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  38. Toward a Predictive Hierarchical Multiscale Modeling Approach for Energetic Materials

    Challenges and advances in computational chemistry and physics · 2019

    Brian C. Barnes, John K. Brennan, Edward F. C. Byrd, Sergei Izvekov, James P. Larentzos, Betsy M. Rice

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  39. Big Data: From Forecasting to Mesoscopic Understanding. Meta-Profiling as Complex Systems

    Systems · 2019

    Gianfranco Minati

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  40. Big data: the end of the scientific method?

    Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · 2019

    Sauro Succi, Peter V. Coveney

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  41. Multiscale modelling, simulation and computing: from the desktop to the exascale

    Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · 2019

    Alfons G. Hoekstra, Simon Portegies Zwart, Peter V. Coveney

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  42. Review: Precision medicine and driver mutations: Computational methods, functional assays and conformational principles for interpreting cancer drivers

    PLoS Computational Biology · 2019

    Ruth Nussinov, Hyunbum Jang, Chung‐Jung Tsai, Feixiong Cheng

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  43. Using non-invasive stimulation of the undamaged brain to guide the identification of lesion sites that predict language outcome after stroke

    UCL Discovery (University College London) · 2019

    Lorca Puls, L Diego

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  44. Big data: The end of the scientific method?

    UCL Discovery (University College London) · 2019

    Sauro Succi, Peter V. Coveney

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  45. The 2019 mathematical oncology roadmap

    Physical Biology · 2019

    Russell C. Rockne, Andrea J. Hawkins-Daarud, Kristin R. Swanson, James Patrick Sluka, James A. Glazier, Paul Macklin, David A. Hormuth, Angela M. Jarrett, Ernesto A. B. F. Lima, John Tinsley Oden, George Biros, Thomas E. Yankeelov, Kit Curtius, Ibrahim Al Bakir, Dominik Wodarz, Natalia L. Komarova, Luis Aparicio, Mykola Bordyuh, Raúl Rabadán, Stacey D. Finley, Heiko Enderling, Jimmy J. Caudell, Eduardo G. Moros, Alexander R.A. Anderson, Robert A. Gatenby, Artem Kaznatcheev, Peter Jeavons, Nikhil P. Krishnan, Julia Pelesko, Raoul Wadhwa, Nara Yoon, Daniel Nichol, Andriy Marusyk, Michael Hinczewski, Jacob G. Scott

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  46. Introduction to Mathematical Oncology

    JCO Clinical Cancer Informatics · 2019

    Russell C. Rockne, Jacob G. Scott

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  47. Machine learning's feet of clay

    Journal of Evaluation in Clinical Practice · 2019

    Levente Kriston

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  48. Mesoscopic simulations at the physics-chemistry-biology interface

    Reviews of Modern Physics · 2019

    Massimo Bernaschi, Simone Melchionna, Sauro Succi

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  49. Complexity and integration. A philosophical analysis of how cancer complexity can be faced in the era of precision medicine

    European Journal for Philosophy of Science · 2019

    Giovanni Boniolo, Raffaella Campaner

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  50. The future of laboratory medicine: Navigating between technology and professionalism

    Clinica Chimica Acta · 2019

    Mario Plebani

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