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Large-scale integration of data and text

Date post: 27-Jun-2015
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Large-scale integration of data and text
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Large-scale integration of data and text Lars Juhl Jensen
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Page 1: Large-scale integration of data and text

Large-scale integration of data and text

Lars Juhl Jensen

Page 2: Large-scale integration of data and text

cellular network biology

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association networks

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guilt by association

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molecular networks

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proteins

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string-db.org

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small molecules

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stitch-db.org

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subcellular localization

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compartments.jensenlab.org

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tissue expression

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tissues.jensenlab.org

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disease associations

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usage statistics

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heavily used

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especially in the US

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data integration

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heterogeneous data

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curated knowledge

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experimental data

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computational predictions

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many databases

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different formats

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different identifiers

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variable quality

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not comparable

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hard work

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common identifiers

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quality scores

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score calibration

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missing most of the data

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text mining

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>10 km

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named entity recognition

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comprehensive lexicon

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cyclin dependent kinase 1

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CDC2

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orthographic variation

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hCdc2

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“black list”

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SDS

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co-mentioning

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counting

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within documents

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within paragraphs

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within sentences

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IDG-specific tasks

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target classification

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text mining

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“protein studiedness”

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probabilistic counting

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resource integration

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disease associations

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tissue expression

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subcellular localization

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automation of updates

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web services

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remapping of identifiers

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predictions for dark matter

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network-based inference

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questions?


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