یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index.
یادداشتهای مربوط به مندرجات
متن يادداشت
Chapter 1: Introduction to Quantitative Biology -- Chapter 2: Architectonics of the Cell -- Chapter 3: Mechanics of the Cell -- Chapter 4: Implementing Toy Models in Microsoft Excel -- Chapter 5: Implementing Toy Models in Python -- Chapter 6: Differential Equations to Describe Temporal Changes -- Chapter 7: Diversity of the Cell -- Chapter 8: Randomness, diffusion, and probability -- Chapter 9: Self-Organization of the Cell -- Chapter 10: Modeling feedback regulations Chapter 11: Development of the Cell over Time (Perspectives).
بدون عنوان
0
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
This textbook is for biologists, to conduct quantitative analysis and modeling of biological processes at molecular and cellular levels. Focusing on practical concepts and techniques for everyday research, this text will enable beginners, both students and established biologists, to take the first step in quantitative biology. It also provides step-by-step tutorials to run various sample programs in ones personal computer using Excel and Python. This volume traces topics, starting with an introductory chapter, such as modeling, construction and execution of numerical models, and key concepts in quantitative biology: feedback regulations, fluctuations and randomness, and statistical analyses. It also provide sample codes with guidance to procedure programming for actual biological processes such as movement of the nucleus within a cell, cell-cycle regulation, stripe pattern formation of skins, and distribution of energy. Written by a leading research scientist who has a background in biology, studied quantitative approaches by himself, and teaches quantitative biology at several universities, this textbook broadens quantitative approaches for biologists who do not have a strong background in mathematics, physics, or computer programming, and helps them progress further in their research.
موضوع (اسم عام یاعبارت اسمی عام)
عنصر شناسه ای
Biology
عنصر شناسه ای
Quantitative research
تقسیم فرعی موضوعی
-- Methodology
داده رابط بین فیلدها
a04
داده رابط بین فیلدها
a06
رده بندی کنگره
شماره رده
QH315
نشانه اثر
.
K56
2022
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )
مستند نام اشخاص تاييد نشده
Kimura, Akatsuki, 1974- author
مبدا اصلی
کشور
Iran
سازمان
University of Tehran. Library of College of Science