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Titlebook: Introduction to Mathematics for Computational Biology; Paola Lecca,Bruno Carpentieri Book 2023 The Editor(s) (if applicable) and The Autho

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发表于 2025-3-21 16:44:32 | 显示全部楼层 |阅读模式
书目名称Introduction to Mathematics for Computational Biology
编辑Paola Lecca,Bruno Carpentieri
视频video
概述Provides the foundation to design, execute, and interpret data analysis tools in biomedical research.Covers mathematical background and practical applications.Key resource for students and researchers
丛书名称Techniques in Life Science and Biomedicine for the Non-Expert
图书封面Titlebook: Introduction to Mathematics for Computational Biology;  Paola Lecca,Bruno Carpentieri Book 2023 The Editor(s) (if applicable) and The Autho
描述This introductory guide provides a thorough explanation of the mathematics and algorithms used in standard data analysis techniques within systems biology, biochemistry, and biophysics. Each part of the book covers the mathematical background and practical applications of a given technique. Readers will gain an understanding of the mathematical and algorithmic steps needed to use these software tools appropriately and effectively, as well how to assess their specific circumstance and choose the optimal method and technology. Ideal for students planning for a career in research, early-career researchers, and established scientists undertaking interdisciplinary research. 
出版日期Book 2023
关键词computational mathematics; bioinformatics; systems bio; network theory; multiphysics simulations; high pe
版次1
doihttps://doi.org/10.1007/978-3-031-36566-9
isbn_softcover978-3-031-36568-3
isbn_ebook978-3-031-36566-9Series ISSN 2367-1114 Series E-ISSN 2367-1122
issn_series 2367-1114
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Linear Algebra Background using numerical analysis algorithms. Many numerical analysis computations, such as the solution of systems of linear equations and least squares problems, as well as the computation of eigenvalues and singular values of matrices, rely on linear algebra techniques. This chapter is intended to provide a brief overview on some of these issues.
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978-3-031-36568-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Paola Lecca,Bruno CarpentieriProvides the foundation to design, execute, and interpret data analysis tools in biomedical research.Covers mathematical background and practical applications.Key resource for students and researchers
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Introduction to Graph TheoryThis chapter is intended as an introduction to the definitions and theorems most commonly used in the applied contexts of graph theory and briefly dwells on the concepts and methods of spectral graph analysis. The chapter then mentions and briefly describes the main measures of node and edge centrality.
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Education was created as part of the Ministry of Education to review continuously the progress in technical education and initiate appropriate measures to correct any serious imbalances in supply and demand for technical manpower as and when they arise.
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