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Physical and Mathematical Modeling in Experimental Papers
- Source :
- Cell. 163(7):1577-1583
- Publication Year :
- 2015
- Publisher :
- Elsevier BV, 2015.
-
Abstract
- An increasing number of publications include modeling. Often, such studies help us to gain a deeper insight into the phenomena studied and break down barriers between experimental and theoretical communities. However, combining experimental and theoretical work is challenging for authors, reviewers, and readers. To help maximize the usefulness and impact of combined theoretical and experimental research, this Primer describes the purpose, usefulness, and different types of models and addresses the practical aspect of integrated publications by outlining characteristics of good modeling, presentation, and fruitful collaborations.
- Subjects :
- Biochemistry, Genetics and Molecular Biology(all)
media_common.quotation_subject
Proteins
Biology
Bacterial Physiological Phenomena
Data science
Models, Biological
General Biochemistry, Genetics and Molecular Biology
Experimental research
Cell Physiological Phenomena
Presentation
Work (electrical)
Models, Chemical
Animals
Computer Simulation
media_common
Subjects
Details
- ISSN :
- 00928674
- Volume :
- 163
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- Cell
- Accession number :
- edsair.doi.dedup.....2cef2088c418dc6fe8dfed74f778121c
- Full Text :
- https://doi.org/10.1016/j.cell.2015.12.006