7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The Crisis of Reproducibility, the Denominator Problem and the Scientific Role of Multi-scale Modeling

      research-article
      Bulletin of Mathematical Biology
      Springer US
      Crisis of Reproducibility, Multi-scale models

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The “Crisis of Reproducibility” has received considerable attention both within the scientific community and without. While factors associated with scientific culture and practical practice are most often invoked, I propose that the Crisis of Reproducibility is ultimately a failure of generalization with a fundamental scientific basis in the methods used for biomedical research. The Denominator Problem describes how limitations intrinsic to the two primary approaches of biomedical research, clinical studies and preclinical experimental biology, lead to an inability to effectively characterize the full extent of biological heterogeneity, which compromises the task of generalizing acquired knowledge. Drawing on the example of the unifying role of theory in the physical sciences, I propose that multi-scale mathematical and dynamic computational models, when mapped to the modular structure of biological systems, can serve a unifying role as formal representations of what is conserved and similar from one biological context to another. This ability to explicitly describe the generation of heterogeneity from similarity addresses the Denominator Problem and provides a scientific response to the Crisis of Reproducibility.

          Related collections

          Most cited references14

          • Record: found
          • Abstract: not found
          • Article: not found

          Translational research: crossing the valley of death.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Bow ties, metabolism and disease.

            Highly organized, universal structures underlying biological and technological networks mediate effective trade-offs among efficiency, robustness and evolvability, with predictable fragilities that can be used to understand disease pathogenesis. The aims of this article are to describe the features of one common organizational architecture in biology, the bow tie. Large-scale organizational frameworks such as the bow tie are necessary starting points for higher-resolution modeling of complex biologic processes
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Estimation of The Percentage of US Patients With Cancer Who Benefit From Genome-Driven Oncology

              To date, the benefit of genome-driven cancer therapy has not been quantified.
                Bookmark

                Author and article information

                Contributors
                773-702-9742 , Docgca@gmail.com
                Journal
                Bull Math Biol
                Bull. Math. Biol
                Bulletin of Mathematical Biology
                Springer US (New York )
                0092-8240
                1522-9602
                7 September 2018
                7 September 2018
                2018
                : 80
                : 12
                : 3071-3080
                Affiliations
                ISNI 0000 0004 1936 7822, GRID grid.170205.1, Department of Surgery, , University of Chicago, ; 5841 South Maryland Ave, MC 5091, Chicago, IL 60637 USA
                Author information
                http://orcid.org/0000-0003-4549-9004
                Article
                497
                10.1007/s11538-018-0497-0
                6245013
                30194523
                9811d4f7-07fb-4735-b4f6-7141cc54880c
                © The Author(s) 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 2 May 2018
                : 29 August 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000057, National Institute of General Medical Sciences;
                Award ID: R01GM115839
                Award Recipient :
                Categories
                Perspectives Article
                Custom metadata
                © Society for Mathematical Biology 2018

                Quantitative & Systems biology
                crisis of reproducibility,multi-scale models
                Quantitative & Systems biology
                crisis of reproducibility, multi-scale models

                Comments

                Comment on this article