Data Science for Neuroimaging: An Introduction - Brossura

Rokem, Ariel; Yarkoni, Tal

Brossura

ISBN 10: 0691222754 ISBN 13: 9780691222752

Casa editrice: Princeton Univ Pr, 2023

Riassunto

Data science methods and tools—including programming, data management, visualization, and machine learning—and their application to neuroimaging research

As neuroimaging turns toward data-intensive discovery, researchers in the field must learn to access, manage, and analyze datasets at unprecedented scales. Concerns about reproducibility and increased rigor in reporting of scientific results also demand higher standards of computational practice. This book offers neuroimaging researchers an introduction to data science, presenting methods, tools, and approaches that facilitate automated, reproducible, and scalable analysis and understanding of data. Through guided, hands-on explorations of openly available neuroimaging datasets, the book explains such elements of data science as programming, data management, visualization, and machine learning, and describes their application to neuroimaging. Readers will come away with broadly relevant data science skills that they can easily translate to their own questions.

• Fills the need for an authoritative resource on data science for neuroimaging researchers
• Strong emphasis on programming
• Provides extensive code examples written in the Python programming language
• Draws on openly available neuroimaging datasets for examples
• Written entirely in the Jupyter notebook format, so the code examples can be executed, modified, and re-executed as part of the learning process

Su questo libro

Informazioni sull?autore

Ariel Rokem is research associate professor at the University of Washington Department of Psychology and Data Science Fellow at the University of Washington eScience Institute. He is a contributor to Python open-source tools for scientific computing and directs the NIH-funded Summer Institute for Neuroimaging and Data Science. Tal Yarkoni is a data scientist and research professor in the Department of Psychology at the University of Texas at Austin. His academic work focuses on developing new tools and methods for the analysis of psychology and neuroimaging data.

Dettagli dell'edizione

• Editore: Princeton Univ Pr
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 0691222754
• ISBN 13: 9780691222752
• Rilegatura: Copertina flessibile
• Numero di pagine: 377
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile