Hands on data science for biologists using Python / (Record no. 302184)

MARC details
000 -LEADER
fixed length control field 03109cam a22002178i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367546793
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367546786
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 570.285
Item number HAS
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Hasija, Yasha,
245 10 - TITLE STATEMENT
Title Hands on data science for biologists using Python /
Statement of responsibility, etc. Yasha Hasija and Rajkumar Chakraborty.
250 ## - EDITION STATEMENT
Edition statement First edition.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. CRC Press
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent pages cm
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Python : introduction and environment set up -- Basic Python programming -- BioPython -- Python for data analysis -- Python for data visualization -- Principal component analysis -- Hands-on projects -- Machine learning and linear regression -- Logistic regression -- K-nearest neighbors (K-NN) -- Decision trees and random forests -- Support vector machines -- Neural nets and deep learning -- The machine learning project -- Natural language processing -- K-means clustering.
520 ## - SUMMARY, ETC.
Summary, etc. "Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day biologists. With the advent of high throughput technologies and consequent availability of omics data, biological science has become a data-intensive field. This hands-on textbook has been written with the inception of easing data analysis by providing an interactive, problem-based instructional approach in Python programming language. The book starts with an introduction to Python and steadily delves into scrupulous techniques of data handling, preprocessing, and visualization. The book concludes with machine learning algorithms and their applications in biological data science. Each topic has an intuitive explanation of concepts and is accompanied with biological examples. Features of this book: The book contains standard templates for data analysis using Python, suitable for beginners as well as advanced learners. This book shows working implementations of data handling and machine learning algorithms using real-life biological datasets and problems, such as gene expression analysis; disease prediction; image recognition; SNP association with phenotypes and diseases. Considering the importance of visualization for data interpretation, especially in biological systems, there is a dedicated chapter for the ease of data visualization and plotting. Every chapter is designed to be interactive and is accompanied with Jupyter notebook to prompt readers to practice in their local systems. Other avant-garde component of the book is the inclusion of a machine learning project, wherein various machine learning algorithms are applied for the identification of genes associated with age-related disorders. A systematic understanding of data analysis steps has always been an important element for biological research. This book is a readily accessible resource that can be used as a handbook for data analysis, as well as a platter of standard code templates for building models"--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Biology
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python (Computer program language)
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chakraborty, Rajkumar,
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Date last checked out Price effective from Koha item type
    Dewey Decimal Classification     Dept. of Computer Science Dept. of Computer Science General Stacks 15/11/2021 2 570.285 HAS DCS4902 14/03/2022 01/02/2022 15/11/2021 Book