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Computational Blood Cell Mechanics

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Computational Blood Cell Mechanics

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Author : Ivan Cimrak
language : en
Publisher: CRC Press
Release Date : 2018-09-06

Computational Blood Cell Mechanics written by Ivan Cimrak and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-06 with Mathematics categories.

Simulating blood cells for biomedical applications is a challenging goal. Whether you want to investigate blood flow behavior on the cell scale, or use a blood cell model for fast computational prototyping in microfluidics, Computational Blood Cell Mechanics will help you get started, and show you the path forward. The text presents a step-by-step approach to cell model building that can be adopted when developing and validating models for biomedical applications, such as filtering and sorting cells, or examining flow and deformations of individual cells under various conditions. It starts with basic building-blocks that, together, model the red blood cell membrane according to its physical properties, before moving on to discuss several issues that may pose problems along the way, and finally leads to suggestions on how to set up computational experiments. More details available at www.compbloodcell.eu

Computational Blood Cell Mechanics

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Author : Ivan Cimrak
language : en
Publisher: CRC Press
Release Date : 2018-09-06

A Computational Environment For The Study Of Circulating Cell Mechanics And Adhesion

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Author : Grenmarie Agresar
language : en
Publisher:
Release Date : 1996

A Computational Environment For The Study Of Circulating Cell Mechanics And Adhesion written by Grenmarie Agresar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.

Analyzing High Dimensional Gene Expression And Dna Methylation Data With R

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Author : Hongmei Zhang
language : en
Publisher: CRC Press
Release Date : 2020-05-14

Analyzing High Dimensional Gene Expression And Dna Methylation Data With R written by Hongmei Zhang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-14 with Computers categories.

Analyzing high-dimensional gene expression and DNA methylation data with R is the first practical book that shows a ``pipeline" of analytical methods with concrete examples starting from raw gene expression and DNA methylation data at the genome scale. Methods on quality control, data pre-processing, data mining, and further assessments are presented in the book, and R programs based on simulated data and real data are included. Codes with example data are all reproducible. Features: • Provides a sequence of analytical tools for genome-scale gene expression data and DNA methylation data, starting from quality control and pre-processing of raw genome-scale data. • Organized by a parallel presentation with explanation on statistical methods and corresponding R packages/functions in quality control, pre-processing, and data analyses (e.g., clustering and networks). • Includes source codes with simulated and real data to reproduce the results. Readers are expected to gain the ability to independently analyze genome-scaled expression and methylation data and detect potential biomarkers. This book is ideal for students majoring in statistics, biostatistics, and bioinformatics and researchers with an interest in high dimensional genetic and epigenetic studies.

Computer Methods Imaging And Visualization In Biomechanics And Biomedical Engineering

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Author : Gerard A. Ateshian
language : en
Publisher: Springer Nature
Release Date : 2020-03-31

Computer Methods Imaging And Visualization In Biomechanics And Biomedical Engineering written by Gerard A. Ateshian and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-31 with Technology & Engineering categories.

This book gathers selected, extended and revised contributions to the 16th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, and the 4th Conference on Imaging and Visualization (CMBBE 2019), held on August 14-16, 2019, in New York City, USA. It reports on cutting-edge models and algorithms for studying various tissues and organs in normal and pathological conditions; innovative imaging and visualization techniques; and the latest diagnostic tools. Further topics addressed include: numerical methods, machine learning approaches, FEM models, and high-resolution imaging and real-time visualization methods applied for biomedical purposes. Given the scope of its coverage, the book provides graduate students and researchers with a timely and insightful snapshot of the latest research and current challenges in biomedical engineering, computational biomechanics and biological imaging, as well as a source of inspiration for future research and cross-disciplinary collaborations.

Bioinformatics And Biomedical Engineering

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Author : Ignacio Rojas
language : en
Publisher: Springer
Release Date : 2019-04-30

Bioinformatics And Biomedical Engineering written by Ignacio Rojas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-30 with Science categories.

The two-volume set LNBI 11465 and LNBI 11466 constitutes the proceedings of the 7th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2019, held in Granada, Spain, in May 2019. The total of 97 papers presented in the proceedings, was carefully reviewed and selected from 301 submissions. The papers are organized in topical sections as follows: Part I: High-throughput genomics: bioinformatics tools and medical applications; omics data acquisition, processing, and analysis; bioinformatics approaches for analyzing cancer sequencing data; next generation sequencing and sequence analysis; structural bioinformatics and function; telemedicine for smart homes and remote monitoring; clustering and analysis of biological sequences with optimization algorithms; and computational approaches for drug repurposing and personalized medicine. Part II: Bioinformatics for healthcare and diseases; computational genomics/proteomics; computationalsystems for modelling biological processes; biomedical engineering; biomedical image analysis; and biomedicine and e-health.

Introduction To Bioinformatics With R

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Author : Edward Curry
language : en
Publisher: CRC Press
Release Date : 2020-11-02

Introduction To Bioinformatics With R written by Edward Curry and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-02 with Mathematics categories.

In biological research, the amount of data available to researchers has increased so much over recent years, it is becoming increasingly difficult to understand the current state of the art without some experience and understanding of data analytics and bioinformatics. An Introduction to Bioinformatics with R: A Practical Guide for Biologists leads the reader through the basics of computational analysis of data encountered in modern biological research. With no previous experience with statistics or programming required, readers will develop the ability to plan suitable analyses of biological datasets, and to use the R programming environment to perform these analyses. This is achieved through a series of case studies using R to answer research questions using molecular biology datasets. Broadly applicable statistical methods are explained, including linear and rank-based correlation, distance metrics and hierarchical clustering, hypothesis testing using linear regression, proportional hazards regression for survival data, and principal component analysis. These methods are then applied as appropriate throughout the case studies, illustrating how they can be used to answer research questions. Key Features: · Provides a practical course in computational data analysis suitable for students or researchers with no previous exposure to computer programming. · Describes in detail the theoretical basis for statistical analysis techniques used throughout the textbook, from basic principles · Presents walk-throughs of data analysis tasks using R and example datasets. All R commands are presented and explained in order to enable the reader to carry out these tasks themselves. · Uses outputs from a large range of molecular biology platforms including DNA methylation and genotyping microarrays; RNA-seq, genome sequencing, ChIP-seq and bisulphite sequencing; and high-throughput phenotypic screens. · Gives worked-out examples geared towards problems encountered in cancer research, which can also be applied across many areas of molecular biology and medical research. This book has been developed over years of training biological scientists and clinicians to analyse the large datasets available in their cancer research projects. It is appropriate for use as a textbook or as a practical book for biological scientists looking to gain bioinformatics skills.

Stochastic Modelling For Systems Biology Third Edition

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Author : Darren J. Wilkinson
language : en
Publisher: CRC Press
Release Date : 2018-12-07

Stochastic Modelling For Systems Biology Third Edition written by Darren J. Wilkinson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-07 with Mathematics categories.

Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this, this third edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. New methods and applications are included in the book, and the use of R for practical illustration of the algorithms has been greatly extended. There is a brand new chapter on spatially extended systems, and the statistical inference chapter has also been extended with new methods, including approximate Bayesian computation (ABC). Stochastic Modelling for Systems Biology, Third Edition is now supplemented by an additional software library, written in Scala, described in a new appendix to the book. New in the Third Edition New chapter on spatially extended systems, covering the spatial Gillespie algorithm for reaction diffusion master equation models in 1- and 2-d, along with fast approximations based on the spatial chemical Langevin equation Significantly expanded chapter on inference for stochastic kinetic models from data, covering ABC, including ABC-SMC Updated R package, including code relating to all of the new material New R package for parsing SBML models into simulatable stochastic Petri net models New open-source software library, written in Scala, replicating most of the functionality of the R packages in a fast, compiled, strongly typed, functional language Keeping with the spirit of earlier editions, all of the new theory is presented in a very informal and intuitive manner, keeping the text as accessible as possible to the widest possible readership. An effective introduction to the area of stochastic modelling in computational systems biology, this new edition adds additional detail and computational methods that will provide a stronger foundation for the development of more advanced courses in stochastic biological modelling.

Mechanics Of The Cell

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Author : David H. Boal
language : en
Publisher: Cambridge University Press
Release Date : 2002

Mechanics Of The Cell written by David H. Boal and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Science categories.

Aimed at senior undergraduates and graduate students in science and biomedical engineering, this text explores the architecture of a cell's envelope and internal scaffolding, and the properties of its soft components. The book first discusses the properties of individual flexible polymers, networks and membranes, and then considers simple composite assemblages such as bacteria and synthetic cells. The analysis is performed within a consistent theoretical framework, although readers can navigate from the introductory material to results and biological applications without working through the intervening mathematics. This, together with a glossary of terms and appendices providing quick introductions to chemical nomenclature, cell structure, statistical mechanics and elasticity theory, make the text suitable for readers from a variety of subject backgrounds. Further applications and extensions are handled through problem sets at the end of each chapter and supplementary material available on the Internet.

Metabolomics

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Author : Ron Wehrens
language : en
Publisher: CRC Press
Release Date : 2019-08-19

Metabolomics written by Ron Wehrens and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-19 with Mathematics categories.

Metabolomics is the scientific study of the chemical processes in a living system, environment and nutrition. It is a relatively new omics science, but the potential applications are wide, including medicine, personalized medicine and intervention studies, food and nutrition, plants, agriculture and environmental science. The topics presented and discussed in this book are based on the European Molecular Biology Organization (EMBO) practical courses in metabolomics bioinformatics taught to those working in the field, from masters to postgraduate students, PhDs, postdoctoral and early PIs. The book covers the basics and fundamentals of data acquisition and analytical technologies, but the primary focus is data handling and data analysis. The mentioning and usage of a particular data analysis tool has been avoided; rather, the focus is on the concepts and principles of data processing and analysis. The material has been class-tested and includes lots of examples, computing and exercises. Key Features: Provides an overview of qualitative /quantitative methods in metabolomics Offers an introduction to the key concepts of metabolomics, including experimental design and technology Covers data handling, processing, analysis, data standards and sharing Contains lots of examples to illustrate the topics Includes contributions from some of the leading researchers in the field of metabolomics with extensive teaching experiences

Computational Blood Cell Mechanics

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