MARC details
| 000 -LEADER |
|---|
| fixed length control field |
05051cam a2200709 i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
36661 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MED |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250911110837.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
230713s2024 njua b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2023018370 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780691222752 |
| Qualifying information |
paperback ; |
| -- |
alkaline paper |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
0691222754 |
| Qualifying information |
paperback ; |
| -- |
alkaline paper |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780691222738 |
| Qualifying information |
hardcover ; |
| -- |
alkaline paper |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
0691222738 |
| Qualifying information |
hardcover ; |
| -- |
alkaline paper |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Canceled/invalid ISBN |
9780691222745 |
| Qualifying information |
electronic book |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)1391973987 |
| Canceled/invalid control number |
(OCoLC)1457961771 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DNLM/DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
DLC |
| Modifying agency |
OCLCO |
| -- |
YDX |
| -- |
OCLCO |
| -- |
CDN |
| -- |
OCLCO |
| -- |
OCLCF |
| -- |
OCLCO |
| -- |
NDD |
| -- |
DLC |
| -- |
IG# |
| -- |
OCLCL |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 04 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
RC349.D52 |
| Item number |
R65 2024 |
| 060 00 - NATIONAL LIBRARY OF MEDICINE CALL NUMBER |
|---|
| Classification number |
WL 26.5 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
616.8/04754 |
| Edition number |
23/eng/20230801 |
| 084 ## - OTHER CLASSIFICATION NUMBER |
|---|
| Classification number |
SCI089000 |
| -- |
COM021030 |
| Number source |
bisacsh |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Rokem, Ariel, |
| Dates associated with a name |
1977- |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Data science for neuroimaging : |
| Remainder of title |
an introduction / |
| Statement of responsibility, etc. |
Ariel Rokem and Tal Yarkoni. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Princeton : |
| Name of producer, publisher, distributor, manufacturer |
Princeton University Press, |
| Date of production, publication, distribution, manufacture, or copyright notice |
[2024] |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiv, 377 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
26 cm |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes bibliographical references (pages 371-373) and index. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references (pages 371-373) and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
The unix operating system -- Version control -- Computational environments and computational containers -- A brief introduction to python -- The python environment -- Sharing code with others -- The scientific python ecosystem -- Manipulating tabular data with pandas -- Visualizing data with python -- Data science tools for neuroimaging -- Reading neuroimaging data with NiBabel -- Using NiBabel to align different measurements -- Image processing -- Image registration -- The core concepts of machine learning -- The Scikit-learn package -- Overfitting -- Validation -- Model selection -- Deep learning. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"Like many other research fields, over the last two decades neuroscience has turned towards data-driven discovery, a change which has dramatically reshaped the field. Through large collaborative projects and concerted data collection and data sharing efforts, the field is gaining access to large and heterogeneous data sets, at scales that have never been possible before. While these data present tremendous opportunities, their effective management, storage, and analysis presents serious challenges for many researchers. The tools and techniques of data science - a field which draws on software engineering, statistics, and machine learning to increase the efficiency and reproducibility of data extraction and analysis - have much to offer neuroscientists, but unfortunately these concepts are not taught within the standard neuroscience curriculum. This book offers an introduction to contemporary data science and its application in neuroimaging research. Taking a "hands-on" approach, the book explains common methods and approaches in a reader-friendly style, and includes numerous applications to openly available neuroscience datasets, including extensive code examples in Python. In contrast to most other neuroimaging-focused books, which place heavy emphasis on the process of acquiring and statistically analyzing neuroimaging data, the focus of this book is on developing and managing scalable and reproducible data analysis pipelines, broadly relevant skills that will readily translate to students' own research questions. Throughout, there is an emphasis on best-practices in data sharing and reporting, including how to apply principles of fairness, accountability, and transparency in neuroscience applications"-- |
| Assigning source |
Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Nervous system |
| General subdivision |
Imaging |
| -- |
Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Neurosciences |
| General subdivision |
Research |
| -- |
Methodology. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Programming languages (Electronic computers) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data sets. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Brain |
| General subdivision |
Imaging. |
| 650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data Science |
| General subdivision |
methods |
| 650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Neuroimaging |
| 650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Programming Languages |
| 650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Datasets as Topic |
| 650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine Learning |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Neuro-imagerie. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Langages de programmation. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Jeux de donn�ees. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Syst�eme nerveux |
| General subdivision |
Imagerie |
| -- |
Informatique. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Neurosciences |
| General subdivision |
Recherche |
| -- |
M�ethodologie. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Apprentissage automatique. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Cerveau |
| General subdivision |
Imagerie. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
SCIENCE / Life Sciences / Neuroscience. |
| Source of heading or term |
bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
COMPUTERS / Data Science / Data Analytics. |
| Source of heading or term |
bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Brain |
| General subdivision |
Imaging |
| Source of heading or term |
fast |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data sets |
| Source of heading or term |
fast |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning |
| Source of heading or term |
fast |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Programming languages (Electronic computers) |
| Source of heading or term |
fast |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Yarkoni, Tal, |
| Relator term |
author. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Relationship information |
Online version: |
| Main entry heading |
Rokem, Ariel, 1977- |
| Title |
Data science for neuroimaging |
| Place, publisher, and date of publication |
Princeton : Princeton University Press, [2024] |
| International Standard Book Number |
9780691222745 |
| Record control number |
(DLC) 2023018371 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
كتاب |
| Suppress in OPAC |
No |
| 948 ## - LOCAL PROCESSING INFORMATION (OCLC); SERIES PART DESIGNATOR (RLIN) |
|---|
| h (OCLC) |
|
