Choose an application

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

Computational biology --- Artificial intelligence --- Bioinformatics Congresses --- Biological applications --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers

Choose an application

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

"Applied Computational Genomics" focuses on an in-depth review of statistical development and application in the area of human genomics including candidate gene mapping, linkage analysis, population-based, genome-wide association, exon sequencing and whole genome sequencing analysis. The authors are extremely experienced in the area of statistical genomics and will give a detailed introduction of the evolution in the field and critical evaluations of the advantages and disadvantages of the statistical models proposed. They will also share their views on a future shift toward translational biology. The book will be of value to human geneticists, medical doctors, health educators, policy makers, and graduate students majoring in biology, biostatistics, and bioinformatics. Dr. Yin Yao Shugart is investigator in the Intramural Research Program at the National Institute of Mental Health, Bethesda, Maryland, USA.

Bioinformatics -- Congresses. --- Genomics. --- Human genome. --- Statistical matching -- Congresses. --- Genomics --- Biology --- Investigative Techniques --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Biological Science Disciplines --- Natural Science Disciplines --- Disciplines and Occupations --- Computational Biology --- Methods --- Medicine --- Health & Biological Sciences --- Pathology --- Genetics --- Computational biology. --- Genome research --- Genomes --- Research --- Medicine. --- Human genetics. --- Biotechnology. --- Bioinformatics. --- Biomedicine. --- Human Genetics. --- Molecular genetics --- Bioinformatics --- Chemical engineering --- Genetic engineering --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Heredity, Human --- Human biology --- Physical anthropology --- Data processing

Choose an application

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

The growth in the Bioinformatics and Computational Biology fields over the last few years has been remarkable and the trend is to increase its pace. In fact, the need for computational techniques that can efficiently handle the huge amounts of data produced by the new experimental techniques in Biology is still increasing driven by new advances in Next Generation Sequencing, several types of the so called omics data and image acquisition, just to name a few. The analysis of the datasets that produces and its integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Within this scenario of increasing data availability, Systems Biology has also been emerging as an alternative to the reductionist view that dominated biological research in the last decades. Indeed, Biology is more and more a science of information requiring tools from the computational sciences. In the last few years, we have seen the surge of a new generation of interdisciplinary scientists that have a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. PACBB‘11 hopes to contribute to this effort promoting this fruitful interaction. PACBB'11 technical program included 50 papers from a submission pool of 78 papers spanning many different sub-fields in Bioinformatics and Computational Biology. Therefore, the conference will certainly have promoted the interaction of scientists from diverse research groups and with a distinct background (computer scientists, mathematicians, biologists). The scientific content will certainly be challenging and will promote the improvement of the work that is being developed by each of the participants.  .

Bioinformatics -- Congresses. --- Biometry -- Congresses. --- Electronic books. -- local. --- Bioinformatics --- Computational biology --- Engineering & Applied Sciences --- Biology --- Health & Biological Sciences --- Computer Science --- Biology - General --- Biometry --- Engineering. --- Artificial intelligence. --- Bioinformatics. --- Computational Intelligence. --- Artificial Intelligence. --- Bio-informatics --- Biological informatics --- Information science --- Systems biology --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Data processing --- Computational intelligence. --- Intelligence, Computational --- Artificial intelligence --- Soft computing

Choose an application

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

This volume presents the proceedings of the Fifth International Conference on the Development of Biomedical Engineering in Vietnam which was held from June 16-18, 2014 in Ho Chi Minh City. The volume reflects the progress of Biomedical Engineering and discusses problems and solutions. I aims identifying new challenges, and shaping future directions for research in biomedical engineering fields including medical instrumentation, bioinformatics, biomechanics, medical imaging, drug delivery therapy, regenerative medicine and entrepreneurship in medical devices.

Engineering. --- Biomedical Engineering. --- Computer Appl. in Life Sciences. --- Medical and Radiation Physics. --- Health Informatics. --- Medical records --- Biology --- Biomedical engineering. --- Ingénierie --- Dossiers médicaux --- Biologie --- Génie biomédical --- Data processing. --- Informatique --- Bioinformatics -- Congresses. --- Biomedical engineering -- Congresses. --- Biomedical engineering -- Vietnam -- Congresses. --- Medicine -- Congresses. --- Health & Biological Sciences --- Biomedical Engineering --- Biomedical engineering --- Clinical engineering --- Medical engineering --- Health informatics. --- Bioinformatics. --- Computational biology. --- Medical physics. --- Radiation. --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Biomedical Engineering and Bioengineering. --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Health physics --- Health radiation physics --- Medical radiation physics --- Radiotherapy physics --- Radiation therapy physics --- Physics --- Medical care --- Bioinformatics . --- Computational biology . --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Radiology --- Bioinformatics --- Bio-informatics --- Biological informatics --- Computational biology --- Systems biology --- Data processing

Choose an application

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

Bioinformatics --- Molecular biology --- Bio-informatique --- Biologie moléculaire --- Congresses. --- Data processing --- Congrès --- Informatique --- Bioinformatics -- Congresses. --- Computational biology -- Congresses. --- Computational biology --- Computational Biology --- Molecular Biology --- Biochemistry --- Biology --- Genetics --- Biological Science Disciplines --- Chemistry --- Natural Science Disciplines --- Disciplines and Occupations --- Biology - General --- Health & Biological Sciences --- Life sciences. --- Computers. --- Data mining. --- Pattern recognition. --- Bioinformatics. --- Life Sciences. --- Life Sciences, general. --- Computational Biology/Bioinformatics. --- Computation by Abstract Devices. --- Pattern Recognition. --- Data Mining and Knowledge Discovery. --- Bio-informatics --- Biological informatics --- Information science --- Systems biology --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- 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 --- Biosciences --- Sciences, Life --- Science --- Computer science. --- Optical pattern recognition. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Informatics