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Exploring Mathematical Modeling in Biology Through Case Studies and Experimental Activities

Exploring Mathematical Modeling in Biology Through Case Studies and Experimental Activities
  • Author : Rebecca Sanft
  • Publsiher : Academic Press
  • Release : 30 March 2020
  • ISBN : 0128195967
  • Pages : 254 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKExploring Mathematical Modeling in Biology Through Case Studies and Experimental Activities

Summary:
Exploring Mathematical Modeling in Biology through Case Studies and Experimental Activities provides supporting materials for courses taken by students majoring in mathematics, computer science or in the life sciences. The book's cases and lab exercises focus on hypothesis testing and model development in the context of real data. The supporting mathematical, coding and biological background permit readers to explore a problem, understand assumptions, and the meaning of their results. The experiential components provide hands-on learning both in the lab and on the computer. As a beginning text in modeling, readers will learn to value the approach and apply competencies in other settings. Included case studies focus on building a model to solve a particular biological problem from concept and translation into a mathematical form, to validating the parameters, testing the quality of the model and finally interpreting the outcome in biological terms. The book also shows how particular mathematical approaches are adapted to a variety of problems at multiple biological scales. Finally, the labs bring the biological problems and the practical issues of collecting data to actually test the model and/or adapting the mathematics to the data that can be collected. Presents a single volume on mathematics and biological examples, with data and wet lab experiences suitable for non-experts Contains three real-world biological case studies and one wet lab for application of the mathematical models Includes R code templates throughout the text, which are also available through an online repository, along with the necessary data files to complete all projects and labs


Exploring Mathematical Modeling in Biology Through Case Studies and Experimental Activities

Exploring Mathematical Modeling in Biology Through Case Studies and Experimental Activities
  • Author : Rebecca Sanft,Anne Walter
  • Publisher : Academic Press
  • Release : 30 March 2020
GET THIS BOOKExploring Mathematical Modeling in Biology Through Case Studies and Experimental Activities

Exploring Mathematical Modeling in Biology through Case Studies and Experimental Activities provides supporting materials for courses taken by students majoring in mathematics, computer science or in the life sciences. The book's cases and lab exercises focus on hypothesis testing and model development in the context of real data. The supporting mathematical, coding and biological background permit readers to explore a problem, understand assumptions, and the meaning of their results. The experiential components provide hands-on learning both in the lab and

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Control Theory in Biomedical Engineering

Control Theory in Biomedical Engineering
  • Author : Olfa Boubaker
  • Publisher : Academic Press
  • Release : 30 June 2020
GET THIS BOOKControl Theory in Biomedical Engineering

Control Theory in Biomedical Engineering: Applications in Physiology and Medical Robotics highlights the importance of control theory and feedback control in our lives and explains how this theory is central to future medical developments. Control theory is fundamental for understanding feedback paths in physiological systems (endocrine system, immune system, neurological system) and a concept for building artificial organs. The book is suitable for graduate students and researchers in the control engineering and biomedical engineering fields, and medical students and practitioners

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Mathematical and Experimental Modeling of Physical and Biological Processes

Mathematical and Experimental Modeling of Physical and Biological Processes
  • Author : H.T. Banks,H.T. Tran
  • Publisher : CRC Press
  • Release : 12 January 2009
GET THIS BOOKMathematical and Experimental Modeling of Physical and Biological Processes

Through several case study problems from industrial and scientific research laboratory applications, Mathematical and Experimental Modeling of Physical and Biological Processes provides students with a fundamental understanding of how mathematics is applied to problems in science and engineering. For each case study problem, the authors discuss why a model is needed and what goals can be achieved with the model. Exploring what mathematics can reveal about applications, the book focuses on the design of appropriate experiments to validate the development

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Mathematical Modeling in Systems Biology

Mathematical Modeling in Systems Biology
  • Author : Brian P. Ingalls
  • Publisher : MIT Press
  • Release : 05 July 2013
GET THIS BOOKMathematical Modeling in Systems Biology

An introduction to the mathematical concepts and techniques needed for the construction and analysis of models in molecular systems biology. Systems techniques are integral to current research in molecular cell biology, and system-level investigations are often accompanied by mathematical models. These models serve as working hypotheses: they help us to understand and predict the behavior of complex systems. This book offers an introduction to mathematical concepts and techniques needed for the construction and interpretation of models in molecular systems biology.

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Mathematical Models in Biology

Mathematical Models in Biology
  • Author : Leah Edelstein-Keshet
  • Publisher : SIAM
  • Release : 01 January 1988
GET THIS BOOKMathematical Models in Biology

Mathematical Models in Biology is an introductory book for readers interested in biological applications of mathematics and modeling in biology. A favorite in the mathematical biology community, it shows how relatively simple mathematics can be applied to a variety of models to draw interesting conclusions. Connections are made between diverse biological examples linked by common mathematical themes. A variety of discrete and continuous ordinary and partial differential equation models are explored. Although great advances have taken place in many of

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New Methodological Perspectives on Observation and Experimentation in Science

New Methodological Perspectives on Observation and Experimentation in Science
  • Author : Wenceslao J. Gonz├ílez
  • Publisher : Netbiblo
  • Release : 01 December 2010
GET THIS BOOKNew Methodological Perspectives on Observation and Experimentation in Science

Observation and experimentation are central topics of philosophy and methodology of science. The empirical sciences have commonly been associated to observational and experimental processes, because they have been considered crucial for testing the contents of these. Thus, observation and experimentation have received attention from different angles, and they have been historically relevant in the advancement of science. Their philosophical-methodological analysis includes some key aspects those related to axiological, epistemological and methodological issues. New Methodological Perspectives on Observation and Experimentation in

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Natural Kinds and Classification in Scientific Practice

Natural Kinds and Classification in Scientific Practice
  • Author : Catherine Kendig
  • Publisher : Routledge
  • Release : 22 December 2015
GET THIS BOOKNatural Kinds and Classification in Scientific Practice

This edited volume of 13 new essays aims to turn past discussions of natural kinds on their head. Instead of presenting a metaphysical view of kinds based largely on an unempirical vantage point, it pursues questions of kindedness which take the use of kinds and activities of kinding in practice as significant in the articulation of them as kinds. The book brings philosophical study of current and historical episodes and case studies from various scientific disciplines to bear on natural kinds

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In Silico Technologies in Drug Target Identification and Validation

In Silico Technologies in Drug Target Identification and Validation
  • Author : Darryl Leon,Scott Markel
  • Publisher : CRC Press
  • Release : 13 June 2006
GET THIS BOOKIn Silico Technologies in Drug Target Identification and Validation

The pharmaceutical industry relies on numerous well-designed experiments involving high-throughput techniques and in silico approaches to analyze potential drug targets. These in silico methods are often predictive, yielding faster and less expensive analyses than traditional in vivo or in vitro procedures. In Silico Technologies in Drug Target Identification and Validation addresses the challenge of testing a growing number of new potential targets and reviews currently available in silico approaches for identifying and validating these targets. The book emphasizes computational tools,

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An Introduction to Mathematical Modeling

An Introduction to Mathematical Modeling
  • Author : Edward A. Bender
  • Publisher : Courier Corporation
  • Release : 23 May 2012
GET THIS BOOKAn Introduction to Mathematical Modeling

Accessible text features over 100 reality-based examples pulled from the science, engineering, and operations research fields. Prerequisites: ordinary differential equations, continuous probability. Numerous references. Includes 27 black-and-white figures. 1978 edition.

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E-Health Technologies and Improving Patient Safety: Exploring Organizational Factors

E-Health Technologies and Improving Patient Safety: Exploring Organizational Factors
  • Author : Moumtzoglou, Anastasius
  • Publisher : IGI Global
  • Release : 31 December 2012
GET THIS BOOKE-Health Technologies and Improving Patient Safety: Exploring Organizational Factors

Advancements in technology regularly influence the healthcare field and developing aspects on medical patient safety. Implementing electronic health records, decision support systems, and computerized physician order entry systems reduces risk in the potential for e-health to make errors leading to adverse events. E-Health Technologies and Improving Patient Safety: Exploring Organizational Factors presents an overview on information and communication technologies and addresses the impacts on the field of both patient safety and e-health. This book offers insightful perspectives and concentrated research

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