(Izdošanas datums: 28-Nov-2024, PDF+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781040146972)
In an era marked by exponential growth in data generation and an unprecedented convergence of technology and healthcare, the intersection of biostatistics and data science has become a pivotal domain. This book is the ideal companion in navigating th...Lasīt vairāk
(Izdošanas datums: 28-Nov-2024, EPUB+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781040147030)
In an era marked by exponential growth in data generation and an unprecedented convergence of technology and healthcare, the intersection of biostatistics and data science has become a pivotal domain. This book is the ideal companion in navigating th...Lasīt vairāk
This book aims not only to introduce fundamental biostatistics topics but to explain them through R-project (R-studio). R is perhaps the more used statistical software in the medical field. It is structured as a scientific journey and comes...Lasīt vairāk
This book aims not only to introduce fundamental biostatistics topics but to explain them through R-project (R-studio). R is perhaps the more used statistical software in the medical field. It is structured as a scientific journey and comes...Lasīt vairāk
This book serves as a brief introduction to phylogenetic trees and molecular evolution for biologists and biology students. It does so by presenting the main concepts in a variety of ways: first visually, then in a history, next in a dice game, and f...Lasīt vairāk
This book serves as a brief introduction to phylogenetic trees and molecular evolution for biologists and biology students. It does so by presenting the main concepts in a variety of ways: first visually, then in a history, next in a dice game, and f...Lasīt vairāk
Machine Learning for Biometrics: Concepts, Algorithms and Applications highlights the fundamental concepts of machine learning, processing and analyzing data from biometrics and provides a review of intelligent and cognitive learning tools which can...Lasīt vairāk
Machine Learning for Biometrics: Concepts, Algorithms and Applications highlights the fundamental concepts of machine learning, processing and analyzing data from biometrics and provides a review of intelligent and cognitive learning tools which can...Lasīt vairāk
(Izdošanas datums: 24-Nov-2021, PDF+DRM, Izdevniecība: World Scientific Publishing Co Pte Ltd, ISBN-13: 9789811250385)
This highly interdisciplinary book discusses the phenomenon of life, including its origin and evolution, against the background of thermodynamics, statistical mechanics, and information theory. Among the central themes is the seeming contradiction be...Lasīt vairāk
(Izdošanas datums: 24-Nov-2021, EPUB+DRM, Izdevniecība: World Scientific Publishing Co Pte Ltd, ISBN-13: 9789811250385)
This highly interdisciplinary book discusses the phenomenon of life, including its origin and evolution, against the background of thermodynamics, statistical mechanics, and information theory. Among the central themes is the seeming contradiction be...Lasīt vairāk
(Izdošanas datums: 15-Jun-2021, PDF+DRM, Izdevniecība: Oxford University Press, ISBN-13: 9780192519177)
Statistical methods are a key tool for all scientists working with data, but learning the basics continues to challenge successive generations of students. This accessible textbook provides an up-to-date introduction to the classical techniques and m...Lasīt vairāk
This open access book explores how biometric data is increasingly flowing across borders in order to limit, control and contain the mobility of selected people, namely criminalized populations. It introduces the concept of bio-bordering, using it to...Lasīt vairāk
This open access book explores how biometric data is increasingly flowing across borders in order to limit, control and contain the mobility of selected people, namely criminalized populations. It introduces the concept of bio-bordering, using it to...Lasīt vairāk
Sērija : Chapman & Hall/CRC Computational Biology Series
(Izdošanas datums: 14-Jun-2018, PDF+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781351172639)
Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic and imaging data analysis and causal inference in big data era. Despite significant progress in dissecting the...Lasīt vairāk
Sērija : Chapman & Hall/CRC Computational Biology Series
(Izdošanas datums: 14-Jun-2018, EPUB+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781351172622)
Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic and imaging data analysis and causal inference in big data era. Despite significant progress in dissecting the...Lasīt vairāk
Sērija : Chapman & Hall/CRC Computational Biology Series
(Izdošanas datums: 01-Dec-2017, EPUB+DRM, Izdevniecība: Taylor & Francis Inc, ISBN-13: 9781315353418)
Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both population and family genomic data in sequencing era. It is unique in that it presents both...Lasīt vairāk
Sērija : Chapman & Hall/CRC Computational Biology Series
(Izdošanas datums: 01-Dec-2017, PDF+DRM, Izdevniecība: Taylor & Francis Inc, ISBN-13: 9781498725804)
Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both population and family genomic data in sequencing era. It is unique in that it presents both hypothesis testing...Lasīt vairāk
Hernando Ombao, Martin Lindquist, Wesley Thompson, John Aston
Sērija : Chapman & Hall/CRC Handbooks of Modern Statistical Methods
(Izdošanas datums: 18-Nov-2016, EPUB+DRM, Izdevniecība: Taylor & Francis Inc, ISBN-13: 9781315356204)
This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics, biostatistics, compu...Lasīt vairāk
