Download or read book A History of the Life Sciences written by Lois N. Magner and published by Marcel Dekker. This book was released on 1994 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: A clear and concise survey of the major themes and theories embedded in the history of life science, this book covers the development and significance of scientific methodologies, the relationship between science and society, and the diverse ideologies and current paradigms affecting the evolution and progression of biological studies. The author discusses cell theory, embryology, physiology, microbiology, evolution, genetics, and molecular biology; the Human Genome Project; and genomics and proteomics. Covering the philosophies of ancient civilizations to modern advances in genomics and molecular biology, the book is a unique and comprehensive resource.

Download or read book Data Analysis for the Life Sciences with R written by Rafael A. Irizarry and published by CRC Press. This book was released on 2016-10-04 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.

Download or read book Physics of the Life Sciences written by Jay Newman and published by Springer Science & Business Media. This book was released on 2010-03-23 with total page 721 pages. Available in PDF, EPUB and Kindle. Book excerpt: Each chapter has three types of learning aides for students: open-ended questions, multiple-choice questions, and quantitative problems. There is an average of about 50 per chapter. There are also a number of worked examples in the chapters, averaging over 5 per chapter, and almost 600 photos and line drawings.

Download or read book Writing in the Life Sciences written by Laurence S. Greene and published by Oxford University Press, USA. This book was released on 2010-01-01 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practicing scientists know that the quality of their livelihood is strongly connected to the quality of their writing, and critical thinking is the most necessary and valuable tool for effectively generating and communicating scientific information. Writing in the Life Sciences is an innovative, process-based text that gives beginning writers the tools to write about science skillfully by taking a critical thinking approach. Laurence Greene emphasizes "writing as thinking" as he takes beginning writers through the important stages of planning, drafting, and revising their work. Throughout, he uses focused and systematic critical reading and thinking activities to help scientific writers develop the skills to effectively communicate. Each chapter addresses a particular writing task rather than a specific type of document. The book makes clear which tasks are important for all writing projects (i.e., audience analysis, attending to instructions) and which are unique to a specific writing project (rhetorical goals for each type of document). Ideal for Scientific Writing courses and writing-intensive courses in various science departments (e.g., Biology, Environmental Studies, etc.), this innovative, process-based text goes beyond explaining what scientific writing is and gives students the tools to do it skillfully.

Download or read book Deep Learning for the Life Sciences written by Bharath Ramsundar and published by O'Reilly Media. This book was released on 2019-04-10 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning has already achieved remarkable results in many fields. Now it’s making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields. Ideal for practicing developers and scientists ready to apply their skills to scientific applications such as biology, genetics, and drug discovery, this book introduces several deep network primitives. You’ll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicine—an example that represents one of science’s greatest challenges. Learn the basics of performing machine learning on molecular data Understand why deep learning is a powerful tool for genetics and genomics Apply deep learning to understand biophysical systems Get a brief introduction to machine learning with DeepChem Use deep learning to analyze microscopic images Analyze medical scans using deep learning techniques Learn about variational autoencoders and generative adversarial networks Interpret what your model is doing and how it’s working

Download or read book Mathematics for the Life Sciences written by Erin N. Bodine and published by Princeton University Press. This book was released on 2014-08-17 with total page 630 pages. Available in PDF, EPUB and Kindle. Book 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 an illustration package is available

Download or read book Python for the Life Sciences written by Alexander Lancaster and published by Apress. This book was released on 2019-09-27 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Treat yourself to a lively, intuitive, and easy-to-follow introduction to computer programming in Python. The book was written specifically for biologists with little or no prior experience of writing code - with the goal of giving them not only a foundation in Python programming, but also the confidence and inspiration to start using Python in their own research. Virtually all of the examples in the book are drawn from across a wide spectrum of life science research, from simple biochemical calculations and sequence analysis, to modeling the dynamic interactions of genes and proteins in cells, or the drift of genes in an evolving population. Best of all, Python for the Life Sciences shows you how to implement all of these projects in Python, one of the most popular programming languages for scientific computing. If you are a life scientist interested in learning Python to jump-start your research, this is the book for you. What You'll Learn Write Python scripts to automate your lab calculations Search for important motifs in genome sequences Use object-oriented programming with Python Study mining interaction network data for patterns Review dynamic modeling of biochemical switches Who This Book Is For Life scientists with little or no programming experience, including undergraduate and graduate students, postdoctoral researchers in academia and industry, medical professionals, and teachers/lecturers. “A comprehensive introduction to using Python for computational biology... A lovely book with humor and perspective” -- John Novembre, Associate Professor of Human Genetics, University of Chicago and MacArthur Fellow “Fun, entertaining, witty and darn useful. A magical portal to the big data revolution” -- Sandro Santagata, Assistant Professor in Pathology, Harvard Medical School “Alex and Gordon’s enthusiasm for Python is contagious” -- Glenys Thomson Professor of Integrative Biology, University of California, Berkeley

Download or read book Model Based Inference in the Life Sciences written by David R. Anderson and published by Springer Science & Business Media. This book was released on 2007-12-22 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook introduces a science philosophy called "information theoretic" based on Kullback-Leibler information theory. It focuses on a science philosophy based on "multiple working hypotheses" and statistical models to represent them. The text is written for people new to the information-theoretic approaches to statistical inference, whether graduate students, post-docs, or professionals. Readers are however expected to have a background in general statistical principles, regression analysis, and some exposure to likelihood methods. This is not an elementary text as it assumes reasonable competence in modeling and parameter estimation.

Download or read book Planning a Career in Biomedical and Life Sciences written by Avrum I. Gotlieb and published by Academic Press. This book was released on 2014-12-08 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Planning a Career in Biomedical and Life Sciences presents useful information, insights, and tips to those pursuing a career in the biomedical and life sciences. The book focuses on making educated choices during schooling, training, and job searching in both the academic and non-academic sectors. The premise of Planning a Career in Biomedical and Life Sciences is that by understanding the full path of a career in either the biomedical or life science fields, you can proactively plan your career, recognize any opportunities that present themselves, and be well prepared to address important aspects of your own professional development. Topics include choosing your training path, selecting the best supervisor/mentor, and negotiating a job offer. Provides strategies on evaluating biomedical and life sciences education and professional development opportunities in a thorough and systematic fashion. Discusses possible pitfalls and offers insight into how to navigate them successfully at various points of a scientist’s career. Offers valuable advice on how to make the best choices for yourself at any stage in your career.

Download or read book Life Science Quest for Middle Grades Grades 6 8 written by Schyrlet Cameron and published by Mark Twain Media. This book was released on 2008-09-02 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connect students in grades 6–8 with science using Life Science Quest for Middle Grades. This 96-page book helps students practice scientific techniques while studying cells, plants, animals, DNA, heredity, ecosystems, and biomes. The activities use common classroom materials and are perfect for individual, team, and whole-group projects. The book includes a glossary, standards lists, unit overviews, and enrichment suggestions. It is great as core curriculum or a supplement and supports National Science Education Standards.

Download or read book Dual Use Research of Concern in the Life Sciences written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2017-10-01 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: The potential misuse of advances in life sciences research is raising concerns about national security threats. Dual Use Research of Concern in the Life Sciences: Current Issues and Controversies examines the U.S. strategy for reducing biosecurity risks in life sciences research and considers mechanisms that would allow researchers to manage the dissemination of the results of research while mitigating the potential for harm to national security.

Download or read book Life Science Teacher Guide written by Dr. Carl Werner and published by New Leaf Publishing Group. This book was released on 2018-05-17 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter Discussion Question: Teachers are encouraged to participate with the student as they complete the discussion questions. The purpose of the Chapter Purpose section is to introduce the chapter to the student. The Discussion Questions are meant to be thought-provoking. The student may not know the answers but should answer with their, thoughts, ideas, and knowledge of the subject using sound reasoning and logic. They should study the answers and compare them with their own thoughts. We recommend the teacher discuss the questions, the student’s answers, and the correct answers with the student. This section should not be used for grading purposes. DVD: Each DVD is watched in its entirety to familiarize the student with each book in the course. They will watch it again as a summary as they complete each book. Students may also use the DVD for review, as needed, as they complete each chapter of the course. Chapter Worksheets: The worksheets are foundational to helping the student learn the material and come to a deeper understanding of the concepts presented. Often, the student will compare what we should find in the fossil record and in living creatures if evolution were true with what we actually find. This comparison clearly shows evolution is an empty theory simply based on the evidence. God’s Word can be trusted and displayed both in the fossil record and in living creatures. Tests and Exams: There is a test for each chapter, sectional exams, and a comprehensive final exam for each book.

Download or read book The Secret Life of Science written by Jeremy J. Baumberg and published by Princeton University Press. This book was released on 2018-05-15 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: A revealing and provocative look at the current state of global science We take the advance of science as given. But how does science really work? Is it truly as healthy as we tend to think? How does the system itself shape what scientists do? The Secret Life of Science takes a clear-eyed and provocative look at the current state of global science, shedding light on a cutthroat and tightly tensioned enterprise that even scientists themselves often don't fully understand. The Secret Life of Science is a dispatch from the front lines of modern science. It paints a startling picture of a complex scientific ecosystem that has become the most competitive free-market environment on the planet. It reveals how big this ecosystem really is, what motivates its participants, and who reaps the rewards. Are there too few scientists in the world or too many? Are some fields expanding at the expense of others? What science is shared or published, and who determines what the public gets to hear about? What is the future of science? Answering these and other questions, this controversial book explains why globalization is not necessarily good for science, nor is the continued growth in the number of scientists. It portrays a scientific community engaged in a race for limited resources that determines whether careers are lost or won, whose research visions become the mainstream, and whose vested interests end up in control. The Secret Life of Science explains why this hypercompetitive environment is stifling the diversity of research and the resiliency of science itself, and why new ideas are needed to ensure that the scientific enterprise remains healthy and vibrant.

Download or read book The Life Science Book written by Jude Nnanabu, Ph.d. and published by Createspace Independent Pub. This book was released on 2012-10-01 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive text designed to give the educator material to reinforce relevant scientific information. Provide students with a knowledge base that meets the common core standards.

Download or read book Engineering in the Life Sciences 9 12 written by Rodney L. Custer and published by . This book was released on 2018-08 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Scientist written by Henry Margenau and published by . This book was released on 1971 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Calculus for the Life Sciences written by James L. Cornette and published by MAA Press. This book was released on 2015-12-30 with total page 713 pages. Available in PDF, EPUB and Kindle. Book excerpt: Freshman and sophomore life sciences students respond well to the modeling approach to calculus, difference equations, and differential equations presented in this book. Examples of population dynamics, pharmacokinetics, and biologically relevant physical processes are introduced in Chapter 1, and these and other life sciences topics are developed throughout the text. The students should have studied algebra, geometry, and trigonometry, but may be life sciences students because they have not enjoyed their previous mathematics courses.