#MathOnco Issue 78: data-fitting, mutations/immunogeneicty, transmissible cancer, osteocyte models, and more.
This week in
Math Oncology
August 15, 2019 ~ Issue 78
From the editor
#MathOnco friends,
This week's issue contains some articles on data-fitting, mutations/immunogenicity, transmissible cancer, osteocyte models, and more. I've also included a nice visualization of Kaplan-Meier curves. Likely, you'll already know your way around K-M curves, but you may not have heard of Observable, and that's worth looking into for communicating your next scientific idea!
-Jeffrey West
#MathOnco Publications
A comparison between Nonlinear Least Squares and Maximum Likelihood estimation for the prediction of tumor growth on experimental data of human and rat origin
Authors: Spyridon Patmanidis, Roberto Chignola, Alexandros C. Charalampidis, George P. Papavassilopoulos
On a Class of Generalized Gompertz-Bateman Growth-decay Models
Authors: Svetoslav Marinov Markov
Effects of mutations and immunogenicity on outcomes of anti-cancer therapies for secondary lesions
Authors: Elena Piretto, Marcello Delitala, Peter S. Kim, Federico Frascoli
Somatic evolution and global expansion of an ancient transmissible cancer lineage
Authors: Adrian Baez-Ortega, Kevin Gori, Andrea Strakova, Janice L. Allen, Karen M. Allum, ..., Michael R. Stratton, Ludmil B. Alexandrov, Iñigo Martincorena, Elizabeth P. Murchison
#MathOnco Preprints
Modelling Osteocyte Network Formation: Healthy and Cancerous Environments
Authors: Jake P. Taylor-King, Pascal R. Buenzli, S. Jon Chapman, Conor C. Lynch, David Basanta
Geostatistical visualization of ecological interactions in tumors
Authors: Hunter Bryan Boyce, Parag Mallick
Pan-cancer whole genome analyses of metastatic solid tumors
Authors: Peter Priestley, Jonathan Baber, Martijn Lolkema, Neeltje Steeghs, ..., Egbert Smit, Stefan Sleijfer, Emile Voest, Edwin Cuppen
Network-Based Matching of Patients and Targeted Therapies for Precision Oncology
Authors: Qingzhi Liu, Min Jin Ha, Rupam Bhattacharyya, Lana Garmire, Veerabhadran Baladandayuthapani
A low-cost, open source, self-contained bacterial EVolutionary biorEactor (EVE)
Authors: Vishhvaan Gopalakrishnan, Nikhil P. Krishnan, Erin McClure, Julia Pelesko, Dena Crozier, Drew F.K. Williamson, Nathan Webster, Daniel Ecker, Daniel Nichol, Jacob G Scott
International Society for Evolution, Ecology, and Cancer Conference
Alex May: "There was an undeniable emphasis on mathematical modelling this year across the conference, with even a full section dedicated to it hosted by Trevor Graham. The other sections were cooperation and conflict in multicellularity, cellular competition, cooperation and cancer, evolvability and adaptation, and transmissible cancer."
Kaplan-Meier Curves
@mcorrell: "The Kaplan-Meier estimator is a way of estimating the survival rate or occurrence rate of a particular event in a population. Where you might see it is in survival curves for things like cancer diagnoses. It's a way of showing how hazardous a particular cancer might be for a particular group of people (a cohort)."
#MathOnco - Book of the month
Partial Differential Equations
Theory and Completely Solved Problems
T. Hillen, I.E. Leonard and H. van Roessel:
"We, as authors, were quite concerned about the high pricing of textbooks. Hence, for the second edition, we offer our book under a self-publishing license. This allows us to attain professional quality, while being able to set affordable prices. This textbook has been class tested for many years and it is a professionally produced textbook for a third-year PDE course. It offers many learning tools that allow students to make progress and master the material. "
Most clicked links of July
Personalized Therapy Design for Liquid Tumors via Optimal Control Theory
Consecutive seeding and transfer of genetic diversity in metastasis
Jobs
Data-driven modeling of breast cancer metastasis - Postdoc (Paul Macklin)
Postdoctoral Research Position in Computational Oncology (Tom Yankeelov)
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