eScholarship
metadata only
Mathematical Modeling of Growth, Evolution, and Control in Biological Populations
Biological populations are heterogeneous, spatially structured, and responsive to changing environments. These features are especially important in tumors, where treatment alters the relative fitness of susceptible and resistant cells, and in bacterial biofilms, where environmental flow affects cell
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Critical-like growth in non-critical transitions: linearised dynamics and epidemic applications#1014595
- Mathematical modelling for antibiotic resistance control policy: do we know enough?#643503
- Mathematical modelling for antibiotic resistance control policy: do we know enough?#643451
- A Calibrated Reduced-Order Force Model for Bacterial Hydrodynamics in Free Space and Near a Planar Boundary#1084862
- A conservative micro-continuum-cellular automaton method for multispecies biofilm dynamics in complex flows#1156837
Record · ID 1065595
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive