Narrow your search

Library

KDG (1944)

AP (1940)

ULB (62)

KU Leuven (58)

Odisee (52)

Thomas More Kempen (52)

UCLL (52)

VIVES (52)

Thomas More Mechelen (51)

VUB (47)

More...

Resource type

digital (1923)

book (90)

periodical (17)


Language

English (1927)

French (11)

Italian (3)

Dutch (2)

Miscellaneous languages (1)


Year
From To Submit

2023 (55)

2022 (100)

2021 (148)

2020 (136)

2019 (28)

More...
Listing 1 - 10 of 1944 << page
of 195
>>
Sort by

Digital
Introduction to modeling for biosciences
Authors: ---
ISBN: 9781849963251 9781849963268 9781447159070 9781849963275 Year: 2010 Publisher: London Springer

Loading...
Export citation

Choose an application

Bookmark

Abstract

Computational modeling has become an essential tool for researchers in the biological sciences. Yet in biological modeling, there is no one technique that is suitable for all problems. Instead, different problems call for different approaches. Furthermore, it can be helpful to analyze the same system using a variety of approaches, to be able to exploit the advantages and drawbacks of each. In practice, it is often unclear which modeling approaches will be most suitable for a particular biological question - a problem that requires researchers to know a reasonable amount about a number of techniques, rather than become experts on a single one. Introduction to Modeling for Biosciences addresses this issue by presenting a broad overview of the most important techniques used to model biological systems. In addition to providing an introduction into the use of a wide range of software tools and modeling environments, this helpful text/reference describes the constraints and difficulties that each modeling technique presents in practice. This enables the researcher to quickly determine which software package would be most useful for their particular problem. Topics and features: Introduces a basic array of techniques to formulate models of biological systems, and to solve them Discusses agent-based models, stochastic modeling techniques, differential equations and Gillespie’s stochastic simulation algorithm Intersperses the text with exercises Includes practical introductions to the Maxima computer algebra system, the PRISM model checker, and the Repast Simphony agent modeling environment Contains appendices on Repast batch running, rules of differentiation and integration, Maxima and PRISM notation, and some additional mathematical concepts Supplies source code for many of the example models discussed, at the associated website http://www.cs.kent.ac.uk/imb/ This unique and practical work guides the novice modeler through realistic and concrete modeling projects, highlighting and commenting on the process of abstracting the real system into a model. Students and active researchers in the biosciences will also benefit from the discussions of the high-quality, tried-and-tested modeling tools described in the book, as well as thorough descriptions and examples. David J. Barnes is a lecturer in computer science at the University of Kent, UK, with a strong background in the teaching of programming. Dominique Chu is a lecturer in computer science at the University of Kent, UK. He is an expert in mathematical and computational modeling of biological systems, with years of experience in these subject fields.


Digital
Aspects of Mathematical Modelling : Applications in Science, Medicine, Economics and Management
Authors: ---
ISBN: 9783764385910 Year: 2008 Publisher: Basel Birkhäuser Verlag AG

Loading...
Export citation

Choose an application

Bookmark

Abstract


Digital
Self-reported population health : an international perspective based on EQ-5D
Authors: --- ---
ISBN: 9789400775954 9789400775961 Year: 2014 Publisher: Dordrecht Springer

Loading...
Export citation

Choose an application

Bookmark

Abstract


Digital
Distance sampling : methods and applications
Authors: --- --- ---
ISBN: 9783319192185 9783319192192 9783319192208 9783319371962 Year: 2015 Publisher: Cham Springer

Loading...
Export citation

Choose an application

Bookmark

Abstract

In this book, the authors cover the basic methods and advances within distance sampling that are most valuable to practitioners and in ecology more broadly. This is the fourth book dedicated to distance sampling. In the decade since the last book published, there have been a number of new developments. The intervening years have also shown which advances are of most use. This self-contained book covers topics from the previous publications, while also including recent developments in method, software and application. Distance sampling refers to a suite of methods, including line and point transect sampling, in which animal density or abundance is estimated from a sample of distances to detected individuals. The book illustrates these methods through case studies; data sets and computer code are supplied to readers through the book’s accompanying website. Some of the case studies use the software Distance, while others use R code. The book is in three parts. The first part addresses basic methods, the design of surveys, distance sampling experiments, field methods and data issues. The second part develops a range of modelling approaches for distance sampling data. The third part describes variations in the basic method; discusses special issues that arise when sampling different taxa (songbirds, seabirds, cetaceans, primates, ungulates, butterflies, and plants); considers advances to deal with failures of the key assumptions; and provides a check-list for those conducting surveys. .


Digital
Nonparametric bayesian inference in biostatistics
Authors: ---
ISBN: 9783319195179 9783319195186 9783319195193 9783319368177 Year: 2015 Publisher: Cham Springer

Loading...
Export citation

Choose an application

Bookmark

Abstract

As chapters in this book demonstrate, BNP has important uses in clinical sciences and inference for issues like unknown partitions in genomics. Nonparametric Bayesian approaches (BNP) play an ever expanding role in biostatistical inference from use in proteomics to clinical trials. Many research problems involve an abundance of data and require flexible and complex probability models beyond the traditional parametric approaches. As this book's expert contributors show, BNP approaches can be the answer. Survival Analysis, in particular survival regression, has traditionally used BNP, but BNP's potential is now very broad. This applies to important tasks like arrangement of patients into clinically meaningful subpopulations and segmenting the genome into functionally distinct regions. This book is designed to both review and introduce application areas for BNP. While existing books provide theoretical foundations, this book connects theory to practice through engaging examples and research questions. Chapters cover: clinical trials, spatial inference, proteomics, genomics, clustering, survival analysis and ROC curve. Riten Mitra is Assistant Professor in the Department of Bioinformatics and Biostatistics at University of Louisville. His research interests include Bayesian graphical models and nonparametric Bayesian methods with a special emphasis on applications in genomics and bioinformatics. Peter Mueller is Professor in the Department of Mathematics and the Department of Statistics & Data Science at the University of Texas at Austin. He has published widely on nonparametric Bayesian statistics, with an emphasis on applications in biostatistics and bioinformatics.


Digital
Fundamentals of clinical trials
Authors: --- --- --- ---
ISBN: 9783319185385 9783319307732 9783319185392 9783319185408 Year: 2015 Publisher: Cham Springer International Publishing

Loading...
Export citation

Choose an application

Bookmark

Abstract

This is the fifth edition of a very successful textbook on clinical trials methodology, written by recognized leaders who have long and extensive experience in all areas of clinical trials. The three authors of the first four editions have been joined by two others who add great expertise. Most chapters have been revised considerably from the fourth edition. A chapter on regulatory issues has been included and the chapter on data monitoring has been split into two and expanded. Many contemporary clinical trial examples have been added. There is much new material on adverse events, adherence, issues in analysis, electronic data, data sharing, and international trials. This book is intended for the clinical researcher who is interested in designing a clinical trial and developing a protocol. It is also of value to researchers and practitioners who must critically evaluate the literature of published clinical trials and assess the merits of each trial and the implications for the care and treatment of patients. The authors use numerous examples of published clinical trials to illustrate the fundamentals. The text is organized sequentially from defining the question to trial closeout. One chapter is devoted to each of the critical areas to aid the clinical trial researcher. These areas include pre-specifying the scientific questions to be tested and appropriate outcome measures, determining the organizational structure, estimating an adequate sample size, specifying the randomization procedure, implementing the intervention and visit schedules for participant evaluation, establishing an interim data and safety monitoring plan, detailing the final analysis plan, and reporting the trial results according to the pre-specified objectives. Although a basic introductory statistics course is helpful in maximizing the benefit of this book, a researcher or practitioner with limited statistical background would still find most if not all the chapters understandable and helpful. While the technical material has been kept to a minimum, the statistician may still find the principles and fundamentals presented in this text useful. This book has been successfully used for teaching courses in clinical trial methodology. .


Digital
Epidemiology and biostatistics : practice problem workbook
Author:
ISBN: 9783319974323 9783319974330 Year: 2019 Publisher: Cham Springer

Loading...
Export citation

Choose an application

Bookmark

Abstract

This workbook is designed to teach the major fundamental concepts in Epidemiology, Biostatistics, and clinical research design alongside the textbook "Epidemiology and Biostatistics, 2nd Edition". It is written in concise and organized fashion with many examples to illustrate the concepts deriving from a collection of written materials created to teach Epidemiology and Biostatistics to medical students. The major differences from related titles include a “story” based approach toward teaching the material, relative brevity while maintaining focus on key concepts, and taking the perspective of first-time learners (avoiding and/or clearly defining jargon, using clear common-sense language). It features a variety of questions: long, short, and multiple choice questions. The workbook is made to provide students with the tools necessary to form their own informed conclusions from the clinical research literature.


Digital
Epidemiology and biostatistics : an introduction to clinical research
Authors: --- ---
ISBN: 9783319966427 9783319966441 Year: 2019 Publisher: Cham Springer

Loading...
Export citation

Choose an application

Bookmark

Abstract

This is a concise introduction to epidemiology and biostatistics written specifically for medical students and first-time learners of clinical research methods. It presents the core concepts of epidemiology and of biostatistics and illustrates them with extensive examples from the clinical literature. It is the only book on the market written to speak directly to medical students and first-time biomedical researchers by using language and examples that are easy to understand. This newly updated second edition is extensively rewritten to provide the clearest explanations and examples. There is also a sister-text, a 150-problem workbook of practice problems that can be purchased alongside this textbook. The author continues to provide a text that is attractively fast-paced and concise for use in condensed courses, such as those taught in medical school. The book is an excellent review for the epidemiology section of the United States Medical Licensing Examination Part I which all medical students must take at the end of the second year.


Digital
Advances in Bioinformatics and Computational Biology : 13th Brazilian Symposium on Bioinformatics, BSB 2020, São Paulo, Brazil, November 23–27, 2020, Proceedings
Authors: ---
ISBN: 9783030657758 Year: 2020 Publisher: Cham Springer International Publishing

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book constitutes the refereed proceedings of the Brazilian Symposium on Bioinformatics, BSB 2020, held in São Paulo, Brazil, in November 2020. Due to COVID-19 pandemic the conference was held virtually The 20 revised full papers and 5 short papers were carefully reviewed and selected from 45 submissions. The papers address a broad range of current topics in computational biology and bioinformatics.


Digital
Actinobacteria : Microbiology to Synthetic Biology
Author:
ISBN: 9789811658358 9789811658341 9789811658365 9789811658372 Year: 2022 Publisher: Singapore Springer Nature

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book summarizes the basics of actinobacteria, from microbiology to synthetic biology. It focuses on diversity, NRPS, sesquiterpenes, lantipeptide, bioinformatics apparatuses, cloning, CRISPR, reverse engineering, FDA supported medications, and marine actinobacteria. It also covers the latest trends in drug discovery from actinobacteria, and introduces several recently developed bioinformatics and synthetic biology tools to explore new antibiotics from actinobacteria. Many natural products such as polyketides, isoprenoids, phenazines, peptides, indolocarbarbazoles, sterols, and others have been isolated and characterized from actinobacteria. Some products are synthesized by the non-ribosomal peptide synthetases (NRPSs), polyketide synthases (PKSs), or other functional genes. Although genome sequencing has uncovered the differing qualities of these chemicals, recognizing new items and their biosynthetic pathways is still under examination. Cryptic metabolic pathways have been explored using molecular techniques or culture-dependent approaches. In recent years, researchers' primary interest is to identify the specific conditions or agents that wake the cryptic antibiotics. Several bioinformatics and synthetic biology tools were developed to explore new antibiotics from actinobacteria. The book comprises 14 chapters with different aspects of application and utilization of actinomycetes from the microbiology; systems biology, pharmacology of natural products, bioinformatics, actinomycete and its diversity, CRISPR, artificial Intelligence, synthetic biology, metabolic engineering, expressional studies, and biosynthetic gene clusters. The book delivers useful information on actinomyces to researchers, novices in genome designing, specialists, clinicians, policymakers, and professionals.

Listing 1 - 10 of 1944 << page
of 195
>>
Sort by