Loading...
Data Analysis for the Life Sciences with R
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 t...
| Main Author: | |
|---|---|
| Format: | Printed Book |
| Published: |
CRC Press, Taylor & Francis Group
2017
|
| Subjects: |
| LEADER | 01453nam a22001577a 4500 | ||
|---|---|---|---|
| 999 | |c 29645 |d 29645 | ||
| 020 | |a 9781498775670 | ||
| 082 | |a 570.15195 IRI-D | ||
| 100 | |a Rafael A. Irizarry, Michael I. Love | ||
| 245 | |a Data Analysis for the Life Sciences with R | ||
| 260 | |b CRC Press, Taylor & Francis Group |c 2017 | ||
| 500 | |a While statistics textbooks focus on mathematics, this book focuses on using a computer to perform data analysis Focuses on the practical challenges faced by data analysts in the life sciences and introduces mathematics as a tool that can help us achieve scientific goals All sections of this book are reproducible as they were produced by R markdown documents that include R code used to produce the figures, tables and results shown in the book | ||
| 520 | |a 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. | ||
| 650 | |a Life sciences -- Statistical methods. Life sciences. Science. | ||
| 942 | |c BK | ||
| 952 | |0 0 |1 0 |4 0 |6 570_151950000000000_IRID |7 0 |9 32397 |a DCB |b DCB |d 2017-04-24 |l 1 |o 570.15195 IRI-D |p DCB3040 |r 2017-12-04 |s 2017-06-16 |w 2017-04-24 |y BK | ||