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  • 1
    Online Resource
    Online Resource
    COMPUTATIONAL AND EXPERIMENTAL STUDIES IN ALZHEIMER'S DISEASE (2024)
    [S.l.] : CRC PRESS
    Details
    UID:
    gbv_1886558116
    Format: 1 online resource
    ISBN: 9781003857396 , 1003857396 , 9781003412069 , 1003412068 , 9781003857341 , 1003857345
    Additional Edition: ISBN 1032530073
    Additional Edition: ISBN 9781032530079
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 1032530073
    Language: English
    DOI: 10.1201/9781003412069
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Open Access Request
    Stabi Berlin
  • 2
    Online Resource
    Online Resource
    Big data analytics in oncology with R / (2023)
    Boca Raton :Chapman & Hall/CRC Press,
    Details
    UID:
    almahu_9949434908602882
    Format: 1 online resource
    Edition: First edition.
    ISBN: 9781003185598 , 1003185592 , 9781000823691 , 1000823695 , 9781000823714 , 1000823717
    Content: "Big Data Analytics in Oncology with R serves the analytical approaches for big data analysis. There is huge progressed in advanced computation with R. But there are several technical challenges faced to work with big data. These challenges are with computational aspect and work with fastest way to get computational results. Clinical decision through genomic information and survival outcomes are now unavoidable in cutting-edge oncology research. This book is intended to provide a comprehensive text to work with some recent development in the area"--
    Additional Edition: Print version: Bhattacharjee, Atanu. Big data analytics in oncology with R Boca Raton : Chapman & Hall/CRC Press, 2023 ISBN 9781032028767
    Language: English
    DOI: 10.1201/9781003185598
    URL: https://www.taylorfrancis.com/books/9781003185598
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Open Access Request
    HU Berlin
  • 3
    Online Resource
    Online Resource
    Computational and experimental studies in Alzheimer's disease / (2024)
    Boca Raton, FL :CRC PRESS,
    Details
    UID:
    almahu_9949747505502882
    Format: 1 online resource
    Edition: First edition.
    ISBN: 9781003857396 , 1003857396 , 9781003412069 , 1003412068
    Content: This reference book compiles the recent advances in computational and experimental modelling to screen and manage Alzheimer's disease. It covers basic etiopathology and various in vitro and in vivo strategies of disease intervention. The book discusses how computer-aided drug design approaches reduce costs and increase biological test efficiency. It reviews the screening for anti-Alzheimer drugs and biomarker analysis of disease inhibitors. The book also explores mechanistic aspects of neurodegeneration and the use of natural products as therapeutics for Alzheimer's disease. Key features: Elaborates on the computational modelling of protein target inhibitors as anti-Alzheimer's agents Explains the role of phytomolecules and natural products in Alzheimer's therapy Reviews preclinical ways to assess drugs focusing on Alzheimer's disease Covers biomarker analysis for Alzheimer's disease Discusses the onset and progression of Alzheimer's disease The book is meant for professionals, researchers, and students of neuroscience, psychology, and computational neurosciences.
    Additional Edition: Print version: ISBN 1032530073
    Additional Edition: ISBN 9781032530079
    Language: English
    DOI: 10.1201/9781003412069
    URL: https://www.taylorfrancis.com/books/9781003412069
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Open Access Request
    HU Berlin
  • 4
    Online Resource
    Online Resource
    Bayesian mediation analysis using R / (2024)
    Boca Raton, FL :CRC Press,
    Details
    UID:
    almahu_9949865803102882
    Format: 1 online resource (xiii, 154 pages) : , illustrations
    Edition: First edition.
    ISBN: 9781032287522 , 1032287527 , 9781003298373 , 1003298370 , 9781040009437 , 1040009433 , 9781040009482 , 1040009484
    Content: "Delve into the realm of statistical methodology for mediation analysis with a Bayesian perspective in high dimensional data through this comprehensive guide. Focused on various forms of time-to-event data methodologies, this book helps readers master the application of Bayesian mediation analysis using R. Across ten chapters, this book explores concepts of mediation analysis, survival analysis, accelerated failure time modeling, longitudinal data analysis, and competing risk modeling. Each chapter progressively unravels intricate topics, from the foundations of Bayesian approaches to advanced techniques like variable selection, bivariate survival models, and Dirichlet process priors. With practical examples and step-by-step guidance, this book empowers readers to navigate the intricate landscape of high-dimensional data analysis, fostering a deep understanding of its applications and significance in diverse fields"--
    Additional Edition: Print version: Bhattacharjee, Atanu Bayesian mediation analysis using R Boca Raton : C&H/CRC Press, 2024 ISBN 9781032287508
    Language: English
    DOI: 10.1201/9781003298373
    URL: https://www.taylorfrancis.com/books/9781003298373
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Open Access Request
    HU Berlin
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