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Data mining workflows

The now seminal study by Lipinski et al. [9] represents an excellent showcase to demonstrate the workflow in data mining. Here we will focus on the procedure interested readers are referred to Chap. 22 by Tudor Oprea, which covers the scientific aspects of this study. [Pg.673]

Mazanetz MP, Marmon RJ, Reisser CBT, Morao I (2012) Drug discovery applications for KNIME an open source data mining platform. Curr Top Med Chem 12 1965-1979 Warr WA (2012) Scientific workflow systems Pipeline Pilot and KNIME. J Compu Aided Mol Des 26 801-804... [Pg.498]

Array technologies require a workflow of activities, including the production of the probes, labeling and hybridization of the target, data extraction from fluorescent images, and subsequent storage and mining of the collected data. [Pg.198]

See other pages where Data mining workflows is mentioned: [Pg.6]    [Pg.254]    [Pg.302]    [Pg.8]    [Pg.9]    [Pg.274]    [Pg.287]    [Pg.485]    [Pg.20]    [Pg.29]    [Pg.30]    [Pg.55]    [Pg.170]    [Pg.142]    [Pg.152]    [Pg.353]    [Pg.879]    [Pg.87]    [Pg.50]    [Pg.489]    [Pg.474]    [Pg.111]    [Pg.179]    [Pg.444]    [Pg.119]    [Pg.301]    [Pg.131]    [Pg.160]    [Pg.305]    [Pg.182]    [Pg.378]    [Pg.398]    [Pg.501]    [Pg.541]    [Pg.112]    [Pg.361]    [Pg.368]   
See also in sourсe #XX -- [ Pg.152 , Pg.417 ]



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