{"product_id":"quantitative-biosciences-companion-in-r-dynamics-across-cells-organisms-and-populations-9780691255668","title":"Quantitative Biosciences Companion in R: Dynamics Across Cells, Organisms, and Populations","description":"\u003cp\u003e  • Publisher: Princeton University Press\u003cbr\u003e • Publisher Imprint: Princeton University Press\u003cbr\u003e • BISAC: Life Sciences - Biology\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA hands-on lab guide in the R programming language that enables students in the life sciences to reason quantitatively about living systems across scales\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eThis lab guide accompanies the textbook \u003ci\u003eQuantitative Biosciences\u003c\/i\u003e, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems. This hands-on guide uses a case study approach organized around central questions in the life sciences, introducing landmark advances in the field while teaching students--whether from the life sciences, physics, computational sciences, engineering, or mathematics--how to reason quantitatively in the face of uncertainty.\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eDraws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communities\u003c\/li\u003e\n\u003cli\u003eEncourages good coding practices, clear and understandable modeling, and accessible presentation of results\u003c\/li\u003e\n\u003cli\u003eHelps students to develop a diverse repertoire of simulation approaches, enabling them to model at the appropriate scale\u003c\/li\u003e\n\u003cli\u003eBuilds practical expertise in a range of methods, including sampling from probability distributions, stochastic branching processes, continuous time modeling, Markov chains, bifurcation analysis, partial differential equations, and agent-based simulations\u003c\/li\u003e\n\u003cli\u003eBridges the gap between the classroom and research discovery, helping students to think independently, troubleshoot and resolve problems, and embark on research of their own\u003c\/li\u003e\n\u003cli\u003eStand-alone computational lab guides for \u003ci\u003eQuantitative Biosciences\u003c\/i\u003e also available in Python and MATLAB\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Princeton University Press","offers":[{"title":"Paperback","offer_id":45085925179543,"sku":"9780691255668","price":2861.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780691255668.webp?v=1768545664","url":"https:\/\/atlanticbooks.com\/products\/quantitative-biosciences-companion-in-r-dynamics-across-cells-organisms-and-populations-9780691255668","provider":"Atlantic Books","version":"1.0","type":"link"}