Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Physiology --- Biological Science Disciplines --- Electrophysiology --- Neurophysiology --- Psychophysiology --- Physiology, Comparative --- Endocrinology --- Physiology - textbooks --- HUMAN PHYSIOLOGY --- PHYSIOLOGY, PATHOLOGICAL --- Practice of medicine --- Human physiology --- Technique of physical examination

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Molecular biology --- Bioinformatics --- Proteomics --- Biologie moléculaire --- Bio-informatique --- Protéomique --- Data processing --- Congresses. --- Informatique --- Congrès --- Medical Informatics --- Molecular Biology --- Computational Biology --- Genetics --- Informatics --- Biochemistry --- Information Science --- Biology --- Biological Science Disciplines --- Chemistry --- Natural Science Disciplines --- Disciplines and Occupations --- Computer Science --- Biophysics --- Engineering & Applied Sciences --- Health & Biological Sciences --- Molecular biochemistry --- Molecular biophysics --- Computer science. --- Computers. --- Database management. --- Proteomics. --- Bioinformatics. --- Computer Science. --- Computation by Abstract Devices. --- Database Management. --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Proteins --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Science --- Biomolecules --- Molecular biology - Data processing - Congresses --- Bioinformatics - Congresses --- Proteomics - Congresses

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Bioconductor is a widely used open source and open development software project for the analysis and comprehension of data arising from high-throughput experimentation in genomics and molecular biology. Bioconductor is rooted in the open source statistical computing environment R. This volume's coverage is broad and ranges across most of the key capabilities of the Bioconductor project, including importation and preprocessing of high-throughput data from microarray, proteomic, and flow cytometry platforms curation and delivery of biological metadata for use in statistical modeling and interpretation statistical analysis of high-throughput data, including machine learning and visualization, modeling and visualization of graphs and networks. The developers of the software, who are in many cases leading academic researchers, jointly authored chapters. All methods are illustrated with publicly available data, and a major section of the book is devoted to exposition of fully worked case studies. This book is more than a static collection of descriptive text, figures, and code examples that were run by the authors to produce the text; it is a dynamic document. Code underlying all of the computations that are shown is made available on a companion website, and readers can reproduce every number, figure, and table on their own computers. Robert Gentleman is Head of the Program in Computational Biology at the Fred Hutchinson Cancer Research Center in Seattle. He is one of the two authors of the original R system and a leading member of the R core team. Vincent Carey is Associate Professor of Medicine (Biostatistics), Channing Laboratory, Brigham and Women's Hospital, Harvard Medical School. Gentleman and Carey are co-founders of the Bioconductor project. Wolfgang Huber is Group Leader in the European Molecular Biology Laboratory at the European Bioinformatics Institute in Cambridge. He has made influential contributions to the error modeling of microarray data. Rafael Irizarry is Associate Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health in Baltimore. He is co-developer of RMA and GCRMA, two of the most popular methodologies for preprocessing high-density oligonucleotide arrays. Sandrine Dudoit is Assistant Professor in the Department of Biostatistics at the University of California, Berkeley. She has made seminal discoveries in the fields of multiple testing and generalized cross-validation and spearheaded the deployment of these findings in applied genomic science.

Biomathematics. Biometry. Biostatistics --- Mathematical statistics --- Bioinformatics. --- R (Computer program language) --- Bio-informatique --- R (Langage de programmation) --- Bioconductor (Computer file) --- Bioinformatics --- R (Computer program language). --- Models, Theoretical --- Statistics as Topic --- Software --- Biology --- Computing Methodologies --- Epidemiologic Methods --- Biological Science Disciplines --- Investigative Techniques --- Health Care Evaluation Mechanisms --- Quality of Health Care --- Natural Science Disciplines --- Information Science --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Public Health --- Health Care Quality, Access, and Evaluation --- Disciplines and Occupations --- Environment and Public Health --- Health Care --- Models, Statistical --- Programming Languages --- Computational Biology --- Health & Biological Sciences --- Biology - General --- EPUB-LIV-FT LIVSTATI SPRINGER-B --- GNU-S (Computer program language) --- Bio-informatics --- Biological informatics --- Computer science. --- Animal genetics. --- Statistics. --- Computer Science. --- Computational Biology/Bioinformatics. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Animal Genetics and Genomics. --- Information science --- Computational biology --- Systems biology --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Genetics --- Informatics --- Science --- Data processing --- Domain-specific programming languages --- Bioconductor (Computer file). --- Monograph --- Statistics . --- Computational biology. --- Genomics. --- Genetic Techniques. --- Genetic Techniques --- Models, statistical --- Probability

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

With the growing frequency of fungal infections even as resistance to existing antifungal agents increases, methods for finding novel drug targets and evaluating antifungal resistance have become more important than ever. In Antifungal Agents: Methods and Protocols, expert scientists describe in detail the state-of-the-art molecular methods they have optimized for studying antifungal resistance, for discovering and evaluating both new and existing antifungal drugs, and for understanding the host response and immunotherapy of such agents. Many of the protocols were developed in the laboratory and, when a method is limited to specific organisms, include alternative techniques to expand their application. The protocols follow the successful Methods in Molecular Medicine™ series format, each offering step-by-step laboratory instructions, an introduction outlining the principle behind the technique, lists of the necessary equipment and reagents, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and highly practical, Antifungal Agents: Methods and Protocols offers clinician-scientists, microbiologists, and molecular biologists the productive tools they need today in order to understand and successfully develop new therapeutic agents for yeast, mold, and fungal infections.

Antifungal agents --- Medical mycology --- Mycoses --- Candida albicans --- Antifungal Agents --- Candidiasis --- Drug Resistance, Fungal --- Models, Animal --- Research --- Methodology --- Immunotherapy --- genetics --- immunology --- therapeutic use --- therapy --- Antifungal agents -- Research -- Methodology. --- Electronic books. -- local. --- Medical mycology. --- Mycoses -- Immunotherapy. --- Drug Resistance, Microbial --- Anti-Infective Agents --- Investigative Techniques --- Candida --- Biology --- Therapeutic Uses --- Biological Science Disciplines --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Mitosporic Fungi --- Bacterial Infections and Mycoses --- Drug Resistance --- Microbiological Phenomena --- Yeasts --- Fungi --- Phenomena and Processes --- Pharmacological Phenomena --- Natural Science Disciplines --- Diseases --- Pharmacologic Actions --- Eukaryota --- Physiological Phenomena --- Disciplines and Occupations --- Chemical Actions and Uses --- Organisms --- Chemicals and Drugs --- Genetics --- Health & Biological Sciences --- Pharmacy, Therapeutics, & Pharmacology --- Methodology. --- Immunotherapy. --- 57.08 --- 57.08 Biological techniques. Experimental methods. Equipment --- Biological techniques. Experimental methods. Equipment --- Fungal diseases --- Fungal infections --- Fungous diseases --- Mycosis --- Mycotic diseases --- Mycotic infections --- Anti-fungal agents --- Antimycotics --- Fungal inhibitory agents --- Inhibitory agents, Fungal --- Therapeutic fungicides --- Medical microbiology --- Mycology --- Pathogenic fungi --- Anti-infective agents --- Fungicides --- Emerging infectious diseases. --- Infectious Diseases. --- Emerging infections --- New infectious diseases --- Re-emerging infectious diseases --- Reemerging infectious diseases --- Communicable diseases --- Antifungal agents - Research - Methodology --- Mycoses - Immunotherapy --- Candida albicans - genetics --- Candida albicans - immunology --- Antifungal Agents - therapeutic use --- Candidiasis - immunology --- Candidiasis - therapy --- Drug Resistance, Fungal - immunology