APPLIED BIOINFORMATICS FOR THE IDENTIFICATION OF REGULATORY ELEMENTS

@article{citeulike:455154, author = {Wasserman, Wyeth W. and Sandelin, Albin }, citeulike-article-id = {455154}, comment = {This article defines nicely some of the differences and drawbacks of machine learning methods as applied to sequence prediction. Required reading for applied bioinformatics, even if not applied to TF-binding site discovery.}, doi = {10.1038/nrg1315 }, journal = {Nat Rev Genet}, keywords = {machine-learning, review, transcription-factor}, month = {April}, number = {4}, pages = {276--287}, posted-at = {2007-12-01 01:22:40}, priority = {2}, title = {APPLIED BIOINFORMATICS FOR THE IDENTIFICATION OF REGULATORY ELEMENTS}, url = {http://dx.doi.org/10.1038/nrg1315\%0D\%0A}, volume = {5}, year = {2004} }

TY - JOUR ID - citeulike:455154 L3 - citeulike-article-id:455154 TI - APPLIED BIOINFORMATICS FOR THE IDENTIFICATION OF REGULATORY ELEMENTS JF - Nat Rev Genet VL - 5 IS - 4 SP - 276 EP - 287 KW - machine-learning KW - review KW - transcription-factor N1 - This article defines nicely some of the differences and drawbacks of machine learning methods as applied to sequence prediction. Required reading for applied bioinformatics, even if not applied to TF-binding site discovery. AU - Wasserman, Wyeth AU - Sandelin, Albin PY - 2004/04// UR - http://dx.doi.org/10.1038/nrg1315%0D%0A ER -