Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Focus On Life Sciences PDF full book. Access full book title Focus On Life Sciences.
| Author | : |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2007 |
| Genre | : Life sciences |
| ISBN | : 9780078741876 |
Provides students with a foundation in modern biological sciences, with an emphasis on molecular biology.
| Author | : Mary Bronson (Ph. D.) |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2007 |
| Genre | : |
| ISBN | : 9780078794346 |
| Author | : Lucy Daniel |
| Publisher | : |
| Total Pages | : 140 |
| Release | : 1989 |
| Genre | : Life sciences |
| ISBN | : 9780675074322 |
| Author | : Gonasagaren S. Pillay |
| Publisher | : |
| Total Pages | : |
| Release | : 2014-08-21 |
| Genre | : |
| ISBN | : 9781107698062 |
| Author | : CPO Science (Firm) |
| Publisher | : |
| Total Pages | : 436 |
| Release | : 2007 |
| Genre | : Life sciences |
| ISBN | : 9781588922533 |
| Author | : Rafael A. Irizarry |
| Publisher | : CRC Press |
| Total Pages | : 537 |
| Release | : 2016-10-04 |
| Genre | : Mathematics |
| ISBN | : 1498775861 |
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.
| Author | : Peter Hollins |
| Publisher | : PublishDrive |
| Total Pages | : 113 |
| Release | : 2019-08-29 |
| Genre | : Business & Economics |
| ISBN | : |
Overhaul your approach to concentration and productivity using strategic, science-proven methods to save hours a day and achieve twice as much. Your current focus and productivity tactics might be “adequate.” But they will never be great or reach their potential if you don’t understand how your psychology and physiology work together to affect your focus. Short circuit your brain into instant focus. The Science of Powerful Focus looks at focus in a revolutionary new way, and sheds light on studies both new and old that lead to the path of massive productivity and conquering of goals. It is a holistic view of how focus can be tackled from every angle of a person’s life. Other books will tell you to simply ditch your phone, stop multi-tasking, and sleep more. Is that really helpful information, or is it just common sense? Here, even the concept of focus is re-defined, and you will learn a plethora of actionable ways to integrate science into your daily life. Clear your mind, sit, and grind. Peter Hollins has studied psychology and peak human performance for over a dozen years and is a bestselling author. He has worked with dozens of individuals to unlock their potential and path towards success. His writing draws on his academic, coaching, and research experience. Defeat distractions and get “into the zone” on command. •Master the foundations of discipline and willpower. •Set goals that inevitable. •The biological basis behind procrastination. •Managing energy, your circadian rhythm, and nature’s schedule. Stop procrastinating and do more in half the time. •How to effectively “singletask.” •How to prime your mental engine. •To-do lists, priority lists, don’t do lists, and all you need to keep you accountable and on track. Master your focus, master your life.
| Author | : Erin N. Bodine |
| Publisher | : Princeton University Press |
| Total Pages | : 630 |
| Release | : 2014-08-17 |
| Genre | : Mathematics |
| ISBN | : 0691150729 |
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
| Author | : Claus Thorn Ekstrom |
| Publisher | : CRC Press |
| Total Pages | : 526 |
| Release | : 2014-11-06 |
| Genre | : Mathematics |
| ISBN | : 1482238942 |
A Hands-On Approach to Teaching Introductory StatisticsExpanded with over 100 more pages, Introduction to Statistical Data Analysis for the Life Sciences, Second Edition presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in the life sciences. This popular textbook covers the m
| Author | : Alexander Lancaster |
| Publisher | : Apress |
| Total Pages | : 396 |
| Release | : 2019-09-27 |
| Genre | : Computers |
| ISBN | : 1484245237 |
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
