%0 Journal Article %1 Rusk2015Deep %A Rusk, Nicole %D 2015 %I Nature Publishing Group %J Nature Methods %K deep-learning overview %N 1 %P 35 %R 10.1038/nmeth.3707 %T Deep learning %U http://dx.doi.org/10.1038/nmeth.3707 %V 13 %X New computational tools learn complex motifs from large sequence data sets.

@article{Rusk2015Deep, abstract = {New computational tools learn complex motifs from large sequence data sets.}, added-at = {2018-12-02T16:09:07.000+0100}, author = {Rusk, Nicole}, biburl = {https://www.bibsonomy.org/bibtex/27365ddf1dc9a25bf49e005f5aba4ad49/karthikraman}, citeulike-article-id = {13896468}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/nmeth.3707}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/nmeth.3707}, day = 30, doi = {10.1038/nmeth.3707}, interhash = {b3c3f770184686b9cac6a653e6a7a709}, intrahash = {7365ddf1dc9a25bf49e005f5aba4ad49}, issn = {1548-7091}, journal = {Nature Methods}, keywords = {deep-learning overview}, month = dec, number = 1, pages = 35, posted-at = {2016-02-16 06:47:16}, priority = {2}, publisher = {Nature Publishing Group}, timestamp = {2018-12-02T16:09:07.000+0100}, title = {Deep learning}, url = {http://dx.doi.org/10.1038/nmeth.3707}, volume = 13, year = 2015 }