@article{
 title = {Chemical probes and inhibitors of bromodomains outside the BET family},
 type = {article},
 year = {2016},
 pages = {2246-2264},
 volume = {7},
 websites = {http://xlink.rsc.org/?DOI=C6MD00373G},
 publisher = {The Royal Society of Chemistry},
 id = {a478c148-46db-364c-bed6-65a8f304f3de},
 created = {2017-03-08T13:30:37.000Z},
 accessed = {2017-03-08},
 file_attached = {true},
 profile_id = {64f7fb50-d000-335d-a02d-06c5f340a97a},
 last_modified = {2018-09-03T10:20:46.119Z},
 read = {false},
 starred = {true},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Moustakim2016},
 private_publication = {false},
 abstract = {Mathematical sciences and computational methods have found new applications in fi elds like medicine over the last few decades. Modern data acquisition and data analysis protocols have been of great assistance to medical researchers and clinical scientists. Especially in psychiatry, technology and science have made new computational methods available to assist the development of predictive modeling and to identify diseases more accurately. Data mining (or knowledge discovery) aims to extract information from large datasets and solve challenging tasks, like patient assessment, early mental disease diagnosis, and drug effi - cacy assessment. Accurate and fast data analysis methods are very important, especially when dealing with severe psychiatric diseases like schizophrenia. In this paper, we focus on computational methods related to data analysis and more specifi cally to data mining. Then, we discuss some related research in the fi eld of psychiatry.},
 bibtype = {article},
 author = {Moustakim, Moses and Clark, Peter G.K. and Hay, Duncan A. and Dixon, Darren J. and Brennan, Paul E.},
 doi = {10.1039/c6md00373g},
 journal = {MedChemComm},
 number = {12}
}

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