Literature DB >> 28837815

When Seeing Isn't Believing: How Math Can Guide Our Interpretation of Measurements and Experiments.

Paul Macklin1.   

Abstract

Mathematical thought experiments probe the meaning and pitfalls of experimental measurements and demonstrate that caution is in order when measuring heterogeneity.
Copyright © 2017 Elsevier Inc. All rights reserved.

Mesh：

Year:  2017        PMID： 28837815     DOI： 10.1016/j.cels.2017.08.005

Source DB:  PubMed          Journal:  Cell Syst        ISSN： 2405-4712            Impact factor:   10.304


  6 in total

Review 1.  A Review of Cell-Based Computational Modeling in Cancer Biology.

Authors:  John Metzcar; Yafei Wang; Randy Heiland; Paul Macklin
Journal:  JCO Clin Cancer Inform       Date:  2019-02

Review 2.  Key challenges facing data-driven multicellular systems biology.

Authors:  Paul Macklin
Journal:  Gigascience       Date:  2019-10-01       Impact factor: 6.524

3.  A persistent invasive phenotype in post-hypoxic tumor cells is revealed by fate mapping and computational modeling.

Authors:  Heber L Rocha; Inês Godet; Furkan Kurtoglu; John Metzcar; Kali Konstantinopoulos; Soumitra Bhoyar; Daniele M Gilkes; Paul Macklin
Journal:  iScience       Date:  2021-08-04

4.  Supporting Computational Apprenticeship Through Educational and Software Infrastructure: A Case Study in a Mathematical Oncology Research Lab.

Authors:  Aasakiran Madamanchi; Madison Thomas; Alejandra Magana; Randy Heiland; Paul Macklin
Journal:  PRIMUS (Terre Ht)       Date:  2021-02-18

5.  PhysiCell: An open source physics-based cell simulator for 3-D multicellular systems.

Authors:  Ahmadreza Ghaffarizadeh; Randy Heiland; Samuel H Friedman; Shannon M Mumenthaler; Paul Macklin
Journal:  PLoS Comput Biol       Date:  2018-02-23       Impact factor: 4.475

6.  Learning-accelerated discovery of immune-tumour interactions.

Authors:  Jonathan Ozik; Nicholson Collier; Randy Heiland; Gary An; Paul Macklin
Journal:  Mol Syst Des Eng       Date:  2019-06-07
  6 in total

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