{bio,medical} informatics
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Stanford Medical Informatics Preprint Archive
Emerging Scientific Applications in Data Mining
"Recent progress in scientific and engineering applications has accumulated huge volumes of high-dimensional data, stream data, unstructured and semi-structured data, and spatial and temporal data. Highly scalable and sophisticated data mining tools for such applications represent one of the most active research frontiers in data mining. Here, we outline the related challenges in several emerging domains."
[ rhetoric ]
“Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.”
BIOINFORMATICS IN THE 21st CENTURY[ search ]
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bio-it world
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scitechdaily
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on genetics
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andrew dalke
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the struggling grad student
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in the pipeline
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gene expression
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free association
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pharyngula
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genetics and public health blog
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nanodot
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complexity digest
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eyeforpharma
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nsu
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biology news net
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informatics review
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bmj info in practice
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