Mathematical Concepts and Methods in Modern Biology Book

Mathematical Concepts and Methods in Modern Biology


  • Author : Raina Robeva
  • Publisher : Academic Press
  • Release Date : 2013-02-26
  • Genre: Mathematics
  • Pages : 372
  • ISBN 10 : 9780124157934

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Mathematical Concepts and Methods in Modern Biology Excerpt :

Mathematical Concepts and Methods in Modern Biology offers a quantitative framework for analyzing, predicting, and modulating the behavior of complex biological systems. The book presents important mathematical concepts, methods and tools in the context of essential questions raised in modern biology. Designed around the principles of project-based learning and problem-solving, the book considers biological topics such as neuronal networks, plant population growth, metabolic pathways, and phylogenetic tree reconstruction. The mathematical modeling tools brought to bear on these topics include Boolean and ordinary differential equations, projection matrices, agent-based modeling and several algebraic approaches. Heavy computation in some of the examples is eased by the use of freely available open-source software. Features self-contained chapters with real biological research examples using freely available computational tools Spans several mathematical techniques at basic to advanced levels Offers broad perspective on the uses of algebraic geometry/polynomial algebra in molecular systems biology

Algebraic and Discrete Mathematical Methods for Modern Biology Book

Algebraic and Discrete Mathematical Methods for Modern Biology


  • Author : Raina Robeva
  • Publisher : Academic Press
  • Release Date : 2015-05-09
  • Genre: Mathematics
  • Pages : 382
  • ISBN 10 : 9780128012710

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Algebraic and Discrete Mathematical Methods for Modern Biology Excerpt :

Written by experts in both mathematics and biology, Algebraic and Discrete Mathematical Methods for Modern Biology offers a bridge between math and biology, providing a framework for simulating, analyzing, predicting, and modulating the behavior of complex biological systems. Each chapter begins with a question from modern biology, followed by the description of certain mathematical methods and theory appropriate in the search of answers. Every topic provides a fast-track pathway through the problem by presenting the biological foundation, covering the relevant mathematical theory, and highlighting connections between them. Many of the projects and exercises embedded in each chapter utilize specialized software, providing students with much-needed familiarity and experience with computing applications, critical components of the "modern biology" skill set. This book is appropriate for mathematics courses such as finite mathematics, discrete structures, linear algebra, abstract/modern algebra, graph theory, probability, bioinformatics, statistics, biostatistics, and modeling, as well as for biology courses such as genetics, cell and molecular biology, biochemistry, ecology, and evolution. Examines significant questions in modern biology and their mathematical treatments Presents important mathematical concepts and tools in the context of essential biology Features material of interest to students in both mathematics and biology Presents chapters in modular format so coverage need not follow the Table of Contents Introduces projects appropriate for undergraduate research Utilizes freely accessible software for visualization, simulation, and analysis in modern biology Requires no calculus as a prerequisite Provides a complete Solutions Manual Features a companion website with supplementary resources

Algebraic and Combinatorial Computational Biology Book

Algebraic and Combinatorial Computational Biology


  • Author : Raina Robeva
  • Publisher : Academic Press
  • Release Date : 2018-10-08
  • Genre: Mathematics
  • Pages : 434
  • ISBN 10 : 9780128140697

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Algebraic and Combinatorial Computational Biology Excerpt :

Algebraic and Combinatorial Computational Biology introduces students and researchers to a panorama of powerful and current methods for mathematical problem-solving in modern computational biology. Presented in a modular format, each topic introduces the biological foundations of the field, covers specialized mathematical theory, and concludes by highlighting connections with ongoing research, particularly open questions. The work addresses problems from gene regulation, neuroscience, phylogenetics, molecular networks, assembly and folding of biomolecular structures, and the use of clustering methods in biology. A number of these chapters are surveys of new topics that have not been previously compiled into one unified source. These topics were selected because they highlight the use of technique from algebra and combinatorics that are becoming mainstream in the life sciences. Integrates a comprehensive selection of tools from computational biology into educational or research programs Emphasizes practical problem-solving through multiple exercises, projects and spinoff computational simulations Contains scalable material for use in undergraduate and graduate-level classes and research projects Introduces the reader to freely-available professional software Supported by illustrative datasets and adaptable computer code

Laboratory Manual of Biomathematics Book

Laboratory Manual of Biomathematics


  • Author : Raina Robeva
  • Publisher : Academic Press
  • Release Date : 2007-08-28
  • Genre: Mathematics
  • Pages : 192
  • ISBN 10 : 9780080565040

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Laboratory Manual of Biomathematics Excerpt :

Designed as supplemental material to the textbook An Invitation to Biomathematics, this laboratory manual expertly aids students who wish to gain a deeper understanding of solving biological issues with computer programs. This manual provides hands-on exploration of model development, model validation, and model refinement, enabling students to truly experience advancements made in biology by mathematical models. Each of the projects offered can be used as individual module in traditional biology or mathematics courses such as calculus, ordinary differential equations, elementary probability, statistics, and genetics. This manual is a companion to the textbook, An Invitation of Biomathematics (sold separately ISBN: 0120887711; or as a set ISBN: 0123740290). * Can be used as a computer lab component of a course in biomathematics or as homework projects for independent student work * Biological topics include: Ecology, Toxicology, Microbiology, Epidemiology, Genetics, Biostatistics, Physiology, Cell Biology, and Molecular Biology * Mathematical topics include: Discrete and continuous dynamical systems, difference equations, differential equations, probability distributions, statistics, data transformation, risk function, statistics, approximate entropy, periodic components, and pulse-detection algorithms * Includes more than 120 exercises derived from ongoing research studies

Analysis and Control of Finite Valued Systems Book

Analysis and Control of Finite Valued Systems


  • Author : Haitao Li
  • Publisher : CRC Press
  • Release Date : 2018-05-11
  • Genre: Mathematics
  • Pages : 286
  • ISBN 10 : 9781351368292

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Analysis and Control of Finite Valued Systems Excerpt :

A comprehensive work in finite-value systems that covers the latest achievements using the semi-tensor product method, on various kinds of finite-value systems. These results occupy the highest position in the analysis and control of this field. It not only covers all aspects of research in finite-value systems, but also presents the mathematical derivation for each conclusion in depth. The book contains examples to provide a better understanding of the practical applications of finite-value systems. It will serve as a textbook for graduate students of Cybernetics, Mathematical, and Biology, and a reference for readers interested in the theory of finite-value systems.

Drug Design using Machine Learning Book

Drug Design using Machine Learning


  • Author : Inamuddin
  • Publisher : John Wiley & Sons
  • Release Date : 2022-10-04
  • Genre: Medical
  • Pages : 280
  • ISBN 10 : 9781394167234

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Drug Design using Machine Learning Excerpt :

DRUG DESIGN USING MACHINE LEARNING The use of machine learning algorithms in drug discovery has accelerated in recent years and this book provides an in-depth overview of the still-evolving field. The objective of this book is to bring together several chapters that function as an overview of the use of machine learning and artificial intelligence applied to drug development. The initial chapters discuss drug-target interactions through machine learning for improving drug delivery, healthcare, and medical systems. Further chapters also provide topics on drug repurposing through machine learning, drug designing, and ultimately discuss drug combinations prescribed for patients with multiple or complex ailments. This excellent overview Provides a broad synopsis of machine learning and artificial intelligence applications to the advancement of drugs; Details the use of molecular recognition for drug development through various mathematical models; Highlights classical as well as machine learning-based approaches to study target-drug interactions in the field of drug discovery; Explores computer-aided technics for prediction of drug effectiveness and toxicity. Audience The book will be useful for information technology professionals, pharmaceutical industry workers, engineers, university researchers, medical practitioners, and laboratory workers who have a keen interest in the area of machine learning and artificial intelligence approaches applied to drug advancements.

An Invitation to Biomathematics Book
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An Invitation to Biomathematics


  • Author : Raina Robeva
  • Publisher : Academic Press
  • Release Date : 2007-08-28
  • Genre: Mathematics
  • Pages : 480
  • ISBN 10 : 0080550991

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An Invitation to Biomathematics Excerpt :

Essential for all biology and biomathematics courses, this textbook provides students with a fresh perspective of quantitative techniques in biology in a field where virtually any advance in the life sciences requires a sophisticated mathematical approach. An Invitation to Biomathematics, expertly written by a team of experienced educators, offers students a solid understanding of solving biological problems with mathematical applications. This text succeeds in enabling students to truly experience advancements made in biology through mathematical models by containing computer-based hands-on laboratory projects with emphasis on model development, model validation, and model refinement. The supplementary work, Laboratory Manual of Biomathematics is available separately ISBN 0123740223, or as a set ISBN: 0123740290) * Provides a complete guide for development of quantification skills crucial for applying mathematical methods to biological problems * Includes well-known examples from across disciplines in the life sciences including modern biomedical research * Explains how to use data sets or dynamical processes to build mathematical models * Offers extensive illustrative materials * Written in clear and easy-to-follow language without assuming a background in math or biology * A laboratory manual is available for hands-on, computer-assisted projects based on material covered in the text

Mathematics for the Life Sciences Book
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Mathematics for the Life Sciences


  • Author : Erin N. Bodine
  • Publisher : Princeton University Press
  • Release Date : 2014-08-17
  • Genre: Mathematics
  • Pages : 630
  • ISBN 10 : 9780691150727

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Mathematics for the Life Sciences Excerpt :

An accessible undergraduate textbook on the essential math concepts used in the life sciences The life sciences deal with a vast array of problems at different spatial, temporal, and organizational scales. The mathematics necessary to describe, model, and analyze these problems is similarly diverse, incorporating quantitative techniques that are rarely taught in standard undergraduate courses. This textbook provides an accessible introduction to these critical mathematical concepts, linking them to biological observation and theory while also presenting the computational tools needed to address problems not readily investigated using mathematics alone. Proven in the classroom and requiring only a background in high school math, Mathematics for the Life Sciences doesn't just focus on calculus as do most other textbooks on the subject. It covers deterministic methods and those that incorporate uncertainty, problems in discrete and continuous time, probability, graphing and data analysis, matrix modeling, difference equations, differential equations, and much more. The book uses MATLAB throughout, explaining how to use it, write code, and connect models to data in examples chosen from across the life sciences. Provides undergraduate life science students with a succinct overview of major mathematical concepts that are essential for modern biology Covers all the major quantitative concepts that national reports have identified as the ideal components of an entry-level course for life science students Provides good background for the MCAT, which now includes data-based and statistical reasoning Explicitly links data and math modeling Includes end-of-chapter homework problems, end-of-unit student projects, and select answers to homework problems Uses MATLAB throughout, and MATLAB m-files with an R supplement are available online Prepares students to read with comprehension the growing quantitative literature across the life sciences A solutions manual for professors and a

Modern Statistics for Modern Biology Book

Modern Statistics for Modern Biology


  • Author : SUSAN. HUBER HOLMES (WOLFGANG.)
  • Publisher : Cambridge University Press
  • Release Date : 2018
  • Genre: Uncategoriezed
  • Pages : 407
  • ISBN 10 : 9781108427029

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Modern Statistics for Modern Biology Excerpt :

Undergraduate Mathematics for the Life Sciences Book

Undergraduate Mathematics for the Life Sciences


  • Author : Glenn Ledder
  • Publisher : MAA
  • Release Date : 2013
  • Genre: Biomathematics
  • Pages : 228
  • ISBN 10 : 9780883851913

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Undergraduate Mathematics for the Life Sciences Excerpt :

There is a gap between the extensive mathematics background that is beneficial to biologists and the minimal mathematics background biology students acquire in their courses. The result is an undergraduate education in biology with very little quantitative content. New mathematics courses must be devised with the needs of biology students in mind. In this volume, authors from a variety of institutions address some of the problems involved in reforming mathematics curricula for biology students. The problems are sorted into three themes: Models, Processes, and Directions. It is difficult for mathematicians to generate curriculum ideas for the training of biologists so a number of the curriculum models that have been introduced at various institutions comprise the Models section. Processes deals with taking that great course and making sure it is institutionalized in both the biology department (as a requirement) and in the mathematics department (as a course that will live on even if the creator of the course is no longer on the faculty). Directions looks to the future, with each paper laying out a case for pedagogical developments that the authors would like to see.

Mathematical Concepts in Organic Chemistry Book

Mathematical Concepts in Organic Chemistry


  • Author : Ivan Gutman
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Genre: Science
  • Pages : 214
  • ISBN 10 : 9783642709821

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Mathematical Concepts in Organic Chemistry Excerpt :

The present book is an attempt to outline some, certainly not all, mathematical aspects of modern organic chemistry. We have focused our attention on topological, graph-theoretical and group-theoretical features of organic chemistry, Parts A, B and C. The book is directed to all those chemists who use, or who intend to use mathe matics in their work, and especially to graduate students. The level of our exposition is adjusted to the mathematical background of graduate students of chemistry and only some knowledge of elementary algebra and calculus is required from the readers of the book. Some less well-known. but still elementary mathematical facts are collected in Appendices 1-4. This, however, does not mean that the mathematical rigor and numerous tedious, but necessary technical details have been avoided. The authors' intention was to show the reader not only how the results of mathematical chemistry look, but also how they can be obtained. In accordance with this, Part 0 of the book contains a few selected advanced topics which should give the reader the flavour of the contemporary research in mathe matical organic chemistry. One of the authors (I.G.) was an Alexander von Humboldt fellow in 1985 when the main part of the book was written. He gratefully acknowledges the financial support of the Alexander von Humboldt Foundation which enabled his stay at the Max-Planck-Institut fUr Strahlenchemie in M iilheim and the writing of this book.

Mathematical Methods in Biology and Neurobiology Book

Mathematical Methods in Biology and Neurobiology


  • Author : Jürgen Jost
  • Publisher : Springer Science & Business Media
  • Release Date : 2014-02-13
  • Genre: Mathematics
  • Pages : 226
  • ISBN 10 : 9781447163534

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Mathematical Methods in Biology and Neurobiology Excerpt :

Mathematical models can be used to meet many of the challenges and opportunities offered by modern biology. The description of biological phenomena requires a range of mathematical theories. This is the case particularly for the emerging field of systems biology. Mathematical Methods in Biology and Neurobiology introduces and develops these mathematical structures and methods in a systematic manner. It studies: • discrete structures and graph theory • stochastic processes • dynamical systems and partial differential equations • optimization and the calculus of variations. The biological applications range from molecular to evolutionary and ecological levels, for example: • cellular reaction kinetics and gene regulation • biological pattern formation and chemotaxis • the biophysics and dynamics of neurons • the coding of information in neuronal systems • phylogenetic tree reconstruction • branching processes and population genetics • optimal resource allocation • sexual recombination • the interaction of species. Written by one of the most experienced and successful authors of advanced mathematical textbooks, this book stands apart for the wide range of mathematical tools that are featured. It will be useful for graduate students and researchers in mathematics and physics that want a comprehensive overview and a working knowledge of the mathematical tools that can be applied in biology. It will also be useful for biologists with some mathematical background that want to learn more about the mathematical methods available to deal with biological structures and data.

Resources in Education Book

Resources in Education


  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 1991-04
  • Genre: Education
  • Pages : 520
  • ISBN 10 : PSU:000068697433

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Resources in Education Excerpt :

Catalog of Copyright Entries  Third Series Book

Catalog of Copyright Entries Third Series


  • Author : Library of Congress. Copyright Office
  • Publisher : Unknown
  • Release Date : 1965
  • Genre: Copyright
  • Pages : 1400
  • ISBN 10 : UIUC:30112113401027

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Catalog of Copyright Entries Third Series Excerpt :

The record of each copyright registration listed in the Catalog includes a description of the work copyrighted and data relating to the copyright claim (the name of the copyright claimant as given in the application for registration, the copyright date, the copyright registration number, etc.).

Modern Infectious Disease Epidemiology Book

Modern Infectious Disease Epidemiology


  • Author : Alexander Krämer
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-01-23
  • Genre: Medical
  • Pages : 443
  • ISBN 10 : 0387938354

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Modern Infectious Disease Epidemiology Excerpt :

Hardly a day goes by without news headlines concerning infectious disease threats. Currently the spectre of a pandemic of influenza A|H1N1 is raising its head, and heated debates are taking place about the pro’s and con’s of vaccinating young girls against human papilloma virus. For an evidence-based and responsible communication of infectious disease topics to avoid misunderstandings and overreaction of the public, we need solid scientific knowledge and an understanding of all aspects of infectious diseases and their control. The aim of our book is to present the reader with the general picture and the main ideas of the subject. The book introduces the reader to methodological aspects of epidemiology that are specific for infectious diseases and provides insight into the epidemiology of some classes of infectious diseases characterized by their main modes of transmission. This choice of topics bridges the gap between scientific research on the clinical, biological, mathematical, social and economic aspects of infectious diseases and their applications in public health. The book will help the reader to understand the impact of infectious diseases on modern society and the instruments that policy makers have at their disposal to deal with these challenges. It is written for students of the health sciences, both of curative medicine and public health, and for experts that are active in these and related domains, and it may be of interest for the educated layman since the technical level is kept relatively low.