An introduction to the mathematical modelling of iPSCs
Laura E Wadkin, Sirio Orozco-Fuentes, Irina Neganova, Majlinda Lako,, Nicholas G Parker, Anvar Shukurov
TL;DR
This chapter emphasizes the importance of mathematical modeling in understanding induced pluripotent stem cells, introducing key concepts to foster interdisciplinary collaboration between biologists and mathematicians.
Contribution
It provides an accessible overview of mathematical tools used in iPSC modeling, promoting interdisciplinary dialogue and understanding.
Findings
Mathematical concepts like differential equations are fundamental in iPSC modeling
The chapter highlights the interdisciplinary nature of stem cell research
Mathematical modeling enhances understanding of stem cell dynamics
Abstract
The aim of this chapter is to convey the importance and usefulness of mathematical modelling as a tool to achieve a deeper understanding of stem cell biology. We introduce key mathematical concepts (random walk theory, differential equations and agent-based modelling) which form the basis of current descriptions of induced pluripotent stem cells. We hope to encourage a meaningful dialogue between biologists and mathematicians and highlight the value of such an interdisciplinary approach.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGene Regulatory Network Analysis · Mathematical Biology Tumor Growth · Pluripotent Stem Cells Research