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Graphic modelling is a form of multivariate analysis that uses graphs to represent models. These graphs display the structure of dependencies, both associational and causal, between the variables in the model. This textbook provides an introduction to graphical modelling with emphasis on applications and practicalities rather than on a formal development. It is based on the popular software package for graphical modelling, MIM, a freeware version of which can be downloaded from the Internet. Following an introductory chapter which sets the scene and describes some of the basic ideas of graphical modelling, subsequent chapters describe particular families of models, including log-linear models, Gaussian models, and models for mixed discrete and continuous variables. Further chapters cover hypothesis testing and model selection. Chapters 7 and 8 are new to the second edition. Chapter 7 describes the use of directed graphs, chain graphs, and other graphs. Chapter 8 summarizes some recent work on causal inference, relevant when graphical models are given a causal interpretation. This book will provide a useful introduction to this topic for students and researchers.

Graphical modeling (Statistics) --- AA / International- internationaal --- 302 --- 303.0 --- Opmaak en presentatie van statistische reeksen en tabellen. Grafieken. --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken). --- Graphical modeling (Statistics). --- Multivariate analysis --- Opmaak en presentatie van statistische reeksen en tabellen. Grafieken --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken) --- Graphic methods --- Mathematical models. --- Statistics . --- Mathematical Modeling and Industrial Mathematics. --- Statistical Theory and Methods. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Models, Mathematical --- Simulation methods

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Bioinformatics is a new and rapidly evolving field of research that is being driven by the development and application of various ‘omics technologies. Plant Bioinformatics focuses on applied bioinformatics with specific applications to crops and model plants. Chapters in this new volume are aimed at researchers developing bioinformatics databases and tools, detailing commonly applied database formats and biology-focused scripting languages. These will provide both beginners and experienced bioinformatics researchers with the necessary skills to develop and apply bioinformatics tools for their specialist area of plant research. Each chapter includes practical examples and highlight common problems encountered in bioinformatics analysis. Protocols in this volume detail EMBL Nucleotide Sequence, TAIR database, VarvEST, MIPS, BGI-RIS V2, BarleyBase/PLEXdb, SAGE, KEGG, and more. Plant biologists who have an interest in or requirement for the accessing and manipulation of the huge amount of data being generated by high throughput technologies will find this new volume to be an immeasurable aid in their research.

Botany. --- Bioinformatics. --- Plant Sciences. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Botanical science --- Phytobiology --- Phytography --- Phytology --- Plant biology --- Plant science --- Natural history --- Plants --- Data processing --- Floristic botany

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This new edition focuses on applied bioinformatics with specific applications to crops, model and diverse plant species. The scope extends from the genome to the phenome and includes aspects of data management, analysis, visualization, and integration. The methods and approaches found within reflect the increasing use of high performance computing infrastructure to analyze and manage the enormous volume of data being generated by the latest high throughput technologies, the establishment and further maturation of major database systems and repositories, as well as the introduction of new approaches such as machine learning. Written for the highly successful Methods in Molecular Biology series, the chapters include the kind of detailed implementation advice that leads to successful research results. Authoritative and up-to-date, Plant Bioinformatics: Methods and Protocols, Third Edition will aid researchers exploring the broad comparison of species that will drive future plant research, crop breeding, and bioinformatics developments that allow us to understand and manipulate the heritable differences between individuals and populations. Chapters 2, 3, and 26 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Bioinformatics. --- Botany. --- Plant Science. --- Botanical science --- Floristic botany --- Phytobiology --- Phytography --- Phytology --- Plant biology --- Plant science --- Biology --- Natural history --- Plants --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Data processing

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This bestselling introduction to art therapy brings theory to life through case material and examples of real artwork produced during therapy sessions. Practising art therapist, Dave Edwards, explains key theoretical ideas - such as symbolism, play, transference and interpretation - and shows how these relate to practice.

Art therapy. --- Arts --- Therapeutic use.

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Kunst --- Creatieve therapie