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“parnian jabbari”

Showing 1 - 12 of 12 results for “parnian jabbari”
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  • Immunoinformatics of Cancers

    Practical Machine Learning Approaches Using R

    by Nima Rezaei, Parnian Jabbari ...
    Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R takes a bioinformatics approach to understanding and researching the immunological aspects of malignancies. It details biological and computational principles and the current applications of bioinformatic approaches in the study of human malignancies. Three sections cover the role of immunology in cancers and ... Read more

    $157.49 USD

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  • Applied Predictive Modeling

    by Max Kuhn, Kjell Johnson ...
    Series series Mathematics and Statistics (R0)
    This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic ... Read more

    $58.49 USD

  • Machine Learning: Concepts, Methodologies, Tools and Applications

    Edited by Information Resources Management Association ...
    Statistics, psychology, and computer science are major influences in machine learning research. This exciting interdisciplinary science is a crucial component in many cutting-edge systems and business processes. Innovations in machine learning stand to change financial markets and uncover mysteries inherent in human learning. Machine Learning: Concepts, Methodologies, Tools, and Applications ... Read more

    $1,579.49 USD

    PRE-ORDER

  • Statistical Bioinformatics with R

    by Sunil K. Mathur ...
    Statistical Bioinformatics provides a balanced treatment of statistical theory in the context of bioinformatics applications. Designed for a one or two semester senior undergraduate or graduate bioinformatics course, the text takes a broad view of the subject – not just gene expression and sequence analysis, but a careful balance of statistical theory in the context of bioinformatics applications. ... Read more

    $49.49 USD

  • Evidence Synthesis for Decision Making in Healthcare

    by Nicky J. Welton, Alexander J. Sutton, Keith R. Abrams, A. E. Ades, Nicola Cooper ...
    Series Book 127 - Statistics in Practice
    In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are both effective and cost-effective. Usually a single study will not fully address these issues and it is desirable to synthesize evidence from multiple sources. This book aims to provide a practical guide to evidence synthesis for the purpose of decision making, starting ... Read more

    $69.00 USD

  • Statistical Analysis of Microbiome Data with R

    by Yinglin Xia, Jun Sun, Ding-Geng Chen ...
    Series series Mathematics and Statistics (R0)
    This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of R for data analysis step by step. The data and R computer programs are publicly available, allowing readers to replicate the model development and data analysis ... Read more

    $179.09 USD

  • Statistical Learning for Biomedical Data

    by James D. Malley, Karen G. Malley, Sinisa Pajevic ...
    Series series Practical Guides to Biostatistics and Epidemiology
    This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines ... Read more

    $46.79 USD

  • Advanced Medical Statistics (2nd Edition)

    by Ying Lu, Ji-qian Fang, Lu Tian, Hua Jin ...
    The book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis. Since the publication of the first edition, there have been tremendous advances in biostatistics and ... Read more

    $71.99 USD

  • Genetic and Evolutionary Computation

    Medical Applications

    Edited by Stefano Cagnoni, Stephen L. Smith ...
    Genetic and Evolutionary Computation: Medical Applications provides an overview of the range of GEC techniques being applied to medicine and healthcare in a context that is relevant not only for existing GEC practitioners but also those from other disciplines, particularly health professionals. There is rapidly increasing interest in applying evolutionary computation to problems in medicine, but ... Read more

    $118.00 USD

  • Hyperparameter Tuning for Machine and Deep Learning with R

    A Practical Guide

    Edited by Eva Bartz, Thomas Bartz-Beielstein, Martin Zaefferer, Olaf Mersmann ...
    Series series Computer Science (R0)
    This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods. The aim of the book is to equip readers with the ability to achieve better results with significantly less time, costs, effort and resources using the methods ... Read more

    Free

  • Statistical Bioinformatics

    For Biomedical and Life Science Researchers

    by Jae K. Lee ...
    This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description of a statistical concept and a current example from ... Read more

    $118.00 USD

  • Bayesian Networks in R

    with Applications in Systems Biology

    by Radhakrishnan Nagarajan, Marco Scutari, Sophie Lèbre ...
    Series series Mathematics and Statistics (R0)
    Bayesian Networks in R with Applications in Systems Biology is unique as it introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is also gradually increased across the chapters with exercises and solutions for enhanced understanding for hands-on ... Read more

    $89.09 USD