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Principles of Bacterial Detection : Biosensors, Recognition Receptors and Microsystems
Principles of Bacterial Detection: Biosensors, Recognition Receptors and Microsystems will cover the up-to-date biosensor technologies used for the detection of bacteria. Written by the world's most renowned and learned scientists each in their own area of expertise, Principles of Bacterial Detection: Biosensors, Recognition Receptors and Microsystems is the first title to cover this expanding research field.
Principal Manifolds for Data Visualization and Dimension Reduction
In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools of data analysis, visualization and dimension reduction: Independent Component Analysis (ICA), Multidimensional Scaling (MDS), Nonlinear PCA (NLPCA), Self Organizing Maps (SOM), etc. The book starts with the quote of the classical Pearson definition of PCA and includes reviews of various methods: NLPCA, ICA, MDS, embedding and clustering algorithms, principal manifolds and SOM. New approaches to NLPCA, principal manifolds, branching principal components and topology preserving mappings are described as well. Presentation of algorithms is supplemented by case studies, from engineering to astronomy, but mostly of biological data: analysis of microarray and metabolite data.
Pharma-Ecology : The Occurrence and Fate of Pharmaceuticals and Personal Care Products in the Environment
Presents a range of pharmaceutical compounds categorized by mode of action and common usage, displaying the volumes (or number of prescriptions) that are dispersed* Discusses the detection of PPCPs in the environment using instrumentation and bioassay techniques, including microarrays* Covers the occurrences of PPCPs in aquatic systems, sediments, soil, and aerial environments* Considers the persistence and degradation of PPCPs in the environment, and links pharmacokinetics/pharmacodynamics with the kinetics of PPCPs in the environment* Explores engineering and treatment techniques that could minimize the impact of PPCPs in the environment* Includes numerous tables and figures that illustrate informationThis is an enlightening reference for engineers, toxicologists, ecologists, micro-biologists, and chemists involved in pollution and environmental analysis; policy-makers; professionals in federal and state regulatory agencies; and pharmaceutical professionals. It is also an excellent text for undergraduate and graduate students in related fields.
PCR Methods in Foods
This book is a primer for students, faculty, and other professionals interested in molecular biology and its integration into food safety, by introducing the reader to diagnostic PCR-based technologies used in detection of pathogens in foods.This book will enable its reader to: Understand the principles behind PCR including real-time ,Know the basics involved in the design, optimization, and implementation of PCR in food microbiology lab setting, Know limitations and strengths of PCR Understand the basic principles behind microarrays and its potential applications in food microbiology.
Pattern Recognition in Bioinformatics ; International Workshop, PRIB 2006, Hong Kong, China, August 20, 2006, Proceedings
Presents the proceedings of Workshop PRIB 2006 held in Hong Kong, China, on August 20, 2006. It includes 19 technical contributions that were selected by the Program Committee from 43 submissions. We give a brief introduction to pattern recognition in bioinformatics in the first paper. The rest of the volume consists of three parts. Part 1: signal and motif detection, and gene selection. Part 2: models of DNA, RNA, and protein structures. Part 3: biological databases and imaging.
Pattern Recognition in Bioinformatics ; 3rd IAPR International Conference, PRIB 2008, Melbourne, Australia, October 15-17, 2008. Proceedings
Constitutes the refereed proceedings of the International Workshop on Pattern Recognition in Bioinformatics, PRIB 2008, held in Melbourne, Australia, in October 2008.The 39 revised full papers presented were carefully reviewed and selected from 121 submissions. The papers discuss the applications of pattern recognition methods in the field of bioinformatics to solve problems in life sciences. The papers are organized in 6 topical parts on protein: structure, function and interaction; learning, classification and clustering; bio-molecular networks and pathways analysis; microarray and gene expression analysis; data mining and knowledge discovery; applications of high performance computing.
Orbital Tumors : Diagnosis and Treatment
In order to provide the most recent developments in the science of orbitology, Orbital Tumors explores the latest developments in medical genetics, molecular genetics, and immunosurveillance mechanisms of neoplasia. The occurrence of multiple, malignant neoplasms in retinoblastoma have been included to apply molecular concepts to clinical practice related to orbital tumors. In the realm of clinical practice for orbital pathology, no development has been more influential than the revolution in imaging techniques, including ultrasonography, computerized tomography, and magnetic resonance methods. The implications of these improvements in diagnostic capabilities are fully explored and explained in Orbital Tumors. The text also includes diagnostic advances in immunohistochemistry, flow cytometry, gene microarray, and the polymerase chain reaction. These are summarized in a separate chapter on orbital biopsy.
Nucleic Acids Hybridization : Modern Applications
Several approaches, such as microarray hybridization, have become extremely popular tools for specialists in biochemistry and biomedicine, while the potential of many other advantageous techniques seems to be underestimated. Written by an international team of authors, this book details the current state-of-art in hybridization techniques. Coverage includes experimental protocols along with comprehensive and detailed method descriptions.
New Developments in Classification and Data Analysis ; Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Bologna, September 22-24, 2003
This volume contains revised versions of selected papers presented during the biannual meeting of the Classification and Data Analysis Group of SocietA Italiana di Statistica, which was held in Bologna, September 22-24, 2003. The scientific program of the conference included 80 contributed papers. the conference provided a large number of scientists and experts from home and abroad with an attractive forum for discussions and mutual exchange of knowledge. The talks in the different sessions focused on methodological developments in supervised and unsupervised classification and in data analysis, also p- viding relevant contributions in the context of applications. This suggested the presentation of the 43 selected papers in three parts as follows: CLASSIFICATION AND CLUSTERING Non parametric classification Clustering and dissimilarities MULTIVARIATE STATISTICS AND DATA ANALYSIS APPLIED MULTIVARIATE STATISTICS Environmental data Microarray data Behavioural and text data Financial data
Multiple Testing Procedures and Applications to Genomics
This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SAS. The methods are applied to a range of testing problems in biomedical and genomic research, including the identification of differentially expressed and co-expressed genes in high-throughput gene expression experiments.
Mouse Models of Human Blood Cancers : Basic Research and Pre-clinical Applications
Although it remains an open question among some people whether mice and humans are similar in disease development, the laboratory mouse has emerged as the preeminent animal model for human diseases. This is underscored by the recently completed mouse and human genome projects, which have revealed that mice and humans share the vast majority of their genes, and thus get many of the same diseases, and for the same reasons. Emphasizing why mouse models are valuable in vivo systems for understanding disease mechanisms and developing therapeutic strategies for human blood cancers, "Mouse Models of Human Blood Cancers: Basic Research and Pre-clinical Applications," edited by Shaoguang Li, aims on presenting thorough analyses of the pathological features and the molecular bases of several major types of blood cancer and to describe translational research using mouse cancer models.
Molecular Pathology in Clinical Practice
This book addresses all areas of molecular pathology clinical practice in a single text, including: molecular biology basics, genetics, infectious diseases, hematopathology, solid tumors, HLA typing, identity testing and laboratory management. This text will provide a comprehensive reference for molecular pathologists as well as the practicing molecular pathologist and trainees.
Molecular Genetic Pathology
Molecular Genetic Pathology presents up-to-date material containing fundamental information relevant to the clinical practice of molecular genetic pathology.
Molecular Biomethods Handbook
Recent advances in the biosciences have led to a range of powerful new technologies, particularly nucleic acid, protein and cell-based methodologies. The most recent insights have come to affect how scientists investigate and define cellular processes at the molecular level. Molecular Biomethods Handbook, 2nd Edition expands upon the techniques included in the first edition, providing theory, outlines of practical procedures, and applications for a range of techniques. Part A of the book describes nucleic acid methods, such as gene expression profiling, microarray analysis and quantitative PCR. In Part B, protein and cell-based methods are outlined, in subjects ranging from protein engineering to high throughput screening. Written by a well-established panel of research scientists, Molecular Biomethods Handbook, 2nd Edition provides an up-to-date collection of methods used regularly in the authors’ own research programs.
Microarrays in Inflammation
The book is of interest to academic and industrial researchers but also clinicians who are working on inflammation related topics and would like to extend their knowledge about microarrays and the application thereof. After reading the book a researcher or clinician should be in the position to plan, perform and analyse or to critically review microarray experiments related to inflammation research.
Microarray technology and Its applications
The genomics revolution would not have been possible without the 'parallelisation' offered by microarray technology. This technological - and commercial - success has been since emulated by other applications areas, with a tremendous amplification of innovation. This book describes the fundamentals and latest developments in microarray technology, as well as its future directions. It presents detailed overviews of the different techniques of fabricating microarrays, of the chemistries and preparative steps involved, of the different types of microarrays, and of the instrumentation and optical issues involved.
Microarray technology and cancer gene profiling
Cancer is a heterogeneous disease in most respects, including its cellularity, different genetic alterations and diverse clinical behaviors. In the present book, written by leading experts in each field, the technical features characterizing this powerful laboratory tool are discussed, and the applications so far described in the field of oncology are reviewed.
Methods of microarray data analysis V
In this volume, all investigators analyzed a single dataset on the lifecycle of the most deadly of malaria parasites, Plasmodium falciparum. The emphasis this year is on the application of novel and existing computational methodologies towards infectious disease. We highlight an introductory chapter by Raphael D. Isokpehi, a leading expert in the field of malaria. Ten of the papers presented at the conference are included, which range from the inference of genetic networks to the analysis of the spatial correlation of array data. This book is an excellent reference for academic and industrial researchers who want to keep abreast of the state-of-the-art in microarray data analysis.
Methods of microarray data analysis IV
As studies using microarray technology have evolved, so have the data analysis methods used to analyze these experiments. The CAMDA conference plays a role in this evolving field by providing a forum in which investors can analyze the same data sets using different methods. METHODS OF MICROARRAY DATA ANALYSIS IV is the fourth book in this series, and focuses on the important issue of associating array data with a survival endpoint. Previous books in this series focused on classification (Volume I), pattern recognition (Volume II), and quality control issues (Volume III). In this volume, four lung cancer data sets are the focus of analysis. We highlight three tutorial papers, including one to assist with a basic understanding of lung cancer, a review of survival analysis in the gene expression literature, and a paper on replication. In addition, 14 papers presented at the conference are included. This book is an excellent reference for academic and industrial researchers who want to keep abreast of the state-of-the-art of microarray data analysis.
Integrated Biochips for DNA Analysis
The objective of this book is to provide up-to-date coverage of some of the emerging developments in the field of integrated DNA biochips. It will prove a useful source of information for researchers in the field and for those who are just entering the field of biochip research.
