Survival is a relevant endpoint for many questions related to the effects of chemicals in the environment. Making sense of mortality, as a process over time, requires mechanism-based models, known as toxicokinetic-toxicodynamic (TKTD) models. All published TKTD models for survival can now be viewed as members of an over-arching framework: GUTS.
Una sólida introducción a la programación con Python, muy accesible para los lectores sin experiencia previa en programación, aunque quienes tengan experiencia también pueden sacarle provecho. Python para bioinformática está pensado para biólogos, bioinformáticos y otros profesionales de las ciencias de la vida.
Una sólida introducción a la programación con Python, muy accesible para los lectores sin experiencia previa en programación, aunque quienes tengan experiencia también pueden sacarle provecho. Python para bioinformática está pensado para biólogos, bioinformáticos y otros profesionales de las ciencias de la vida.
New to research? This is the one book you should read. It's got everything. It'll take you from choosing your project and starting out in a lab, through designing experiments, acquiring data and performing the appropriate analysis, and all the way on to writing up your work for publication, and presenting your work at conferences.
Biological Data Science with R covers data manipulation with dplyr, visualization with ggplot2, essential statistics, survival analysis, RNA-seq analysis, phylogenetic trees, predictive modeling and infectious disease forecasting, text mining and natural language processing, and more.
Are you confident your statistical results are correct? To answer this, you need to know the concepts behind statistics. This book, and R code, focus on data with correlated errors that arise in mixed models and phylogenetic models. It will hopefully give you confidence to judge statistical methods and the results they produce. The book is free!
How chemostat bacterial systems grow, wash out, or stabilize, modeled from first principles through stability analysis and optimal harvest calculus.
We live inside Time: sometimes wishing it would pass faster, sometimes praying for more, and often trying to conquer it. Wave 2 proposes a different quest: to look more deeply at Time’s nature, so we may better understand who we are, where we belong, and how our becoming may find its purpose.
When you buy this book, you will get access to the Companion Resource Library, which includes:High-resolution versions of all figures featured in this volume.Curated educational videos from leading universities, research organizations, and trusted science communicators that complement the topics covered in this book.Additional companion resources and updates as they become available.
How epidemics travel as waves, from Fisher-KPP wave existence and minimum speed derived via phase-plane analysis, and then tied to disease spread and persistence.
Sunflowers, quasicrystals, spiral galaxies, and the cosmic web may reflect the same organizing principle. Fractal Uncertainty Theory V10.1 explores how space, time, matter, and mathematics could emerge from interference, coherence, and recursively evolving, horizon-relative relations—from quantum systems to cosmic structure.
If you value precision, depth, and professional-grade explanations—you’ll find this book indispensable.What if the key to building more robust autonomous machines lies not in imitating the complexity of the human brain, but in revisiting the ancient simplicity of reptilian cognition?Reptilian Cognitive Architecture for Robotics explores the evolutionary roots of intelligence and translates them into practical frameworks for robotic design.
The last intro to programming you’ll ever need.