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A Survey of Biological Data in a Big Data Perspective
Big Data, 2022The amount of available data is continuously growing. This phenomenon promotes a new concept, named big data. The highlight technologies related to big data are cloud computing (infrastructure) and Not Only SQL (NoSQL; data storage). In addition, for data analysis, machine learning algorithms such as decision trees, support vector machines, artificial ...
Gabriel Dall'Alba +4 more
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Intuitive Clustering of Biological Data
2007 International Joint Conference on Neural Networks, 2007K-means clustering combines a variety of striking properties because of which it is widely used in applications: training is intuitive and simple, the final classifier represents classes by geometrically meaningful prototypes, and the algorithm is quite powerful compared to more complex alternative clustering algorithms.
Barbara Hammer +5 more
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Biological algorithm for data reconstruction
Physical Review E, 2010An algorithm inspired by Genome sequencing is proposed which "reconstructs" a single long trajectory of a dynamical system from many short trajectories. This procedure is useful in situations when many data sets are available but each is insufficiently long to apply a meaningful analysis directly.
Daniel J, Cross +2 more
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A digital filter for biological data
Medical & Biological Engineering, 1969Low pass digital filters are very suitable for use on stored biological data. This paper discusses the characteristics of the ideal data filter and the digital approximation to such a filter. The use of this filter with biological data is shown.
A H, Wilcock, R L, Kirsner
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Data Modeling and Data Management for the Biological Enterprise
OMICS: A Journal of Integrative Biology, 2003RECENT TECHNOLOGICAL ADVANCES in computational biology have had a fundamental impact on the vast amount of data that is available to the biological enterprise. To date, technological advances in data modeling and data management have not focused on the special needs and challenges of data management for cellular and molecular biology.
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Visual Analytics for Biological Data
IEEE Computer Graphics and Applications, 2014The preeminence of a systems approach in the biological and other life sciences creates enormous challenges for computational visualization techniques to enable researchers to gain insight from their large, highly complex, and multiple datasets. This special issue presents articles describing applications of visual-analytics techniques to yield viable ...
Raghu Machiraju +2 more
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Logical Analysis of Biological Data
2021Maschinelle Lernverfahren und Modelle sind für die Analyse und Interpretation großer Datensätze im biomedizinischen Bereich unverzichtbar geworden. In dieser Arbeit befassen wir uns mit der Logischen Analyse von Daten (LAD), einer Methode für maschinelles Lernen.
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Biological relevance of data variability
Brain, Behavior, and Immunity, 2004Fellow immunologists, have you ever thrown the baby out with the bath water? To put this query in a scientific context, have you ever discarded data because of the unanticipated variability of the immune response being assayed in an experiment involving immunizing inbred rodents?
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Information Visualization for Biological Data
2016Visualization is a powerful method to present and explore a large amount of data. It is increasingly important in the life sciences and is used for analyzing different types of biological data, such as structural information, high-throughput data, and biochemical networks.
Tobias, Czauderna, Falk, Schreiber
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Parallel Computing for Biological Data
2009In the 1990s a number of technological innovations appeared that revolutionized biology, and 'Bioinformatics' became a new scientific discipline. Microarrays can measure the abundance of tens of thousands of mRNA species, data on the complete genomic sequences of many different organisms are available, and other technologies make it possible to study ...
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