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DNA microarrays --- Protein microarrays --- Gene expression --- DNA microarrays. --- Gene expression. --- Protein microarrays. --- Microarray Analysis --- Microarray Analysis --- methods. --- instrumentation.

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Dna microarrays --- Dna --- Genetic phenomena --- Genome --- Genomics --- Microarray analysis --- Analysis --- Methods

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Cancer is a heterogeneous disease in most respects, including its cellularity, different genetic alterations and diverse clinical behaviors. Traditional molecular analyses are reductionist, assessing only one or a few genes at a time, thus working with a biologic model too specific and limited to confront a process whose clinical outcome is likely to be governed by the combined influence of many genes. The potential of functional genomics is enormous, because for each experiment, thousands of relevant observations can be made simultaneously. Accordingly, DNA array, as other high throughput technologies, might catalyze and ultimately accelerate the development of knowledge in tumor cell biology. Although in its infancy, the implementation of DNA array technology in cancer research has already provided investigators with novel data and intriguing new hypotheses on the molecular cascade leading to cancerogenesis, tumor aggressiveness and sensitivity to antineoplastic agents. Given the revolutionary implications that the use of this technology might have in the clinical management of cancer patients, principles of DNA array-based tumor gene profiling need to be clearly understood for the data to be correctly interpreted and appreciated. 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.

DNA microarrays. --- Gene Expression Profiling -- methods. --- Microarray Analysis -- methods. --- Neoplasms -- genetics. --- Oncogenes. --- Medicine --- Health & Biological Sciences --- Oncology --- Oncogenes --- DNA microarrays --- Gene Expression Profiling --- Microarray Analysis --- Methods --- Neoplasms --- Genetics --- Biology --- Genetic Techniques --- Microchip Analytical Procedures --- Diseases --- Investigative Techniques --- Chemistry Techniques, Analytical --- Biological Science Disciplines --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Natural Science Disciplines --- Disciplines and Occupations --- DNA biochips --- Microarrays, DNA --- Onc genes --- Medicine. --- Cancer research. --- Oncology. --- Medicine & Public Health. --- Cancer Research. --- Tumors --- Cancer research --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Physicians --- Biochips --- Immobilized nucleic acids --- Cancer genes --- Proto-oncogenes --- Oncology  .

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A complete introduction to the application of advanced signal processing methods to biomedical engineering problemsThis edited volume, which grew out of the GNB (Gruppo Nazionale di Bioingegneria, Italy) Summer School on Biomedical Signal Processing, explains some of the most advanced methodological signal processing techniques and applies them to biomedical engineering problems. Prominent experts in the areas of biomedical signal processing, biomedical data treatment, medicine, signal processing, system biology, and applied physiology introduce novel techniques and algorithms as well as their clinical or physiological applications.Divided into seven sections, Advanced Methods of Biomedical Signal Processing covers:. The peculiarities of biomedical signal processing with respect to more traditional applications of digital signal processing and their classification. An experimental physiologist's and cardiologist's view of the cardiovascular, central and autonomic nervous systems. An important link between biomedical signal processing and physiological modeling. Time-frequency, time-scale, and wavelet analysis. Advanced methods employed in complexity measurements. Computational genomics and proteomics. Key methods for signal classification, such as neural networks, neuro-fuzzy and genetic algorithmsThe book provides a compelling overview of techniques, such as multisource and multi-scale integration of information for physiology and clinical decision; the integration of signal processing methods with a modeling approach; complexity measurement from biomedical signals; higher order analysis in biomedical signals; and classification and parameter enhancement. Various contributions reveal that biomedical signal processing must be viewed in a wider context, with key links to the modeling phase of the signal-generating mechanisms, in order to better comprehend the behavior of the biological system under investigation.Graduate and PhD students in engineering/biomedical engineering courses, physics and applied mathematics, as well as research professionals in medical and biological sciences will highly benefit from this authoritative resource.

Signal processing. --- Biomedical engineering. --- Biomedical Engineering. --- Signal Processing, Computer-Assisted. --- Microarray Analysis --- Models, Biological. --- Biological Model --- Biological Models --- Model, Biological --- Models, Biologic --- Biologic Model --- Biologic Models --- Model, Biologic --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- methods. --- Biomedical engineering --- Signal processing --- Models, Biological --- methods

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M. B. Nodwell S. A. Sieber ABPP Methodology: Introduction and Overview J. Krysiak R. Breinbauer Activity-Based Protein Profiling for Natural Product Target Discovery P. P. Geurink L. M. Prely G. A. van der Marel R. Bischoff H. S. Overkleeft Photoaffinity Labeling in Activity-Based Protein Profiling W. P. Heal E. W. Tate Application of Activity-Based Protein Profiling to the Study of Microbial Pathogenesis Y.-G. Kim A. Saghatelian Functional Analysis of Protein Targets by Metabolomic Approaches.  .

Proteomics --- Proteins --- Molecular Probe Techniques --- Biochemistry --- Genomics --- Microarray Analysis --- Biological Science Disciplines --- Microchip Analytical Procedures --- Amino Acids, Peptides, and Proteins --- Genetic Techniques --- Computational Biology --- Chemistry --- Investigative Techniques --- Genetics --- Biology --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Chemicals and Drugs --- Chemistry Techniques, Analytical --- Natural Science Disciplines --- Disciplines and Occupations --- Protein Array Analysis --- Proteome --- Human Anatomy & Physiology --- Physical Sciences & Mathematics --- Health & Biological Sciences --- Animal Biochemistry --- Chemistry - General --- Proteomics. --- Proteins. --- Proteids --- Chemistry. --- Pharmaceutical technology. --- Organic chemistry. --- Organic Chemistry. --- Pharmaceutical Sciences/Technology. --- Molecular biology --- Biomolecules --- Polypeptides --- Chemistry, Organic. --- Pharmaceutical laboratory techniques --- Pharmaceutical laboratory technology --- Technology, Pharmaceutical --- Technology --- Organic chemistry --- Pharmaceutical technology --- Chemistry, Organic