{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T16:50:00Z","timestamp":1771606200854,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,12,19]],"date-time":"2016-12-19T00:00:00Z","timestamp":1482105600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100003093","name":"Ministry of Higher Education, Malaysia","doi-asserted-by":"publisher","award":["FRGS\/1\/2014\/SG03\/UNIMAS\/02\/2"],"award-info":[{"award-number":["FRGS\/1\/2014\/SG03\/UNIMAS\/02\/2"]}],"id":[{"id":"10.13039\/501100003093","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2016,12,19]]},"DOI":"10.1145\/3029375.3029380","type":"proceedings-article","created":{"date-parts":[[2017,2,10]],"date-time":"2017-02-10T13:39:43Z","timestamp":1486733983000},"page":"41-47","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["GMFR-CNN"],"prefix":"10.1145","author":[{"given":"Yu Shiong","family":"Wong","sequence":"first","affiliation":[{"name":"Department of Cognitive Sciences, Universiti Malaysia Sarawak, Sarawak, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nung Kion","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Cognitive Sciences, Universiti Malaysia Sarawak, Sarawak, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Norshafarina","family":"Omar","sequence":"additional","affiliation":[{"name":"Department of Cognitive Sciences, Universiti Malaysia Sarawak, Sarawak, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2016,12,19]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrg3458"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrg3682"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1101\/gr.121905.111"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Ghandi M. Lee D. Mohammad-Noori M. and Beer M. A. 2014. Enhanced regulatory sequence prediction using gapped k-mer features. PLoS Computational Biology 10 7 (2014).  Ghandi M. Lee D. Mohammad-Noori M. and Beer M. A. 2014. Enhanced regulatory sequence prediction using gapped k-mer features. PLoS Computational Biology 10 7 (2014).","DOI":"10.1371\/journal.pcbi.1003711"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/nbt.3300"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Fletez-Brant C. Lee D. McCallion A. S. and Beer M. A. 2013. Kmer-SVM: a web server for identifying predictive regulatory sequence features in genomic data sets. Nucleic Acids Research 41 W1 (2013).  Fletez-Brant C. Lee D. McCallion A. S. and Beer M. A. 2013. Kmer-SVM: a web server for identifying predictive regulatory sequence features in genomic data sets. Nucleic Acids Research 41 W1 (2013).","DOI":"10.1093\/nar\/gkt519"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1261\/rna.045088.114"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1101\/gr.200535.115"},{"key":"e_1_3_2_1_9_1","first-page":"1","article-title":"DEEP: a general computational framework for predicting enhancers","volume":"43","author":"Kleftogiannis D.","year":"2014","journal-title":"Nucleic Acids Research"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btq248"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Annala M. Laurila K. L\u00e4hdesm\u00e4ki H. and Nykter M. 2011. A linear model for transcription factor binding affinity prediction in protein binding microarrays. PLoS ONE 6 5 (2011).  Annala M. Laurila K. L\u00e4hdesm\u00e4ki H. and Nykter M. 2011. A linear model for transcription factor binding affinity prediction in protein binding microarrays. PLoS ONE 6 5 (2011).","DOI":"10.1371\/journal.pone.0020059"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Elemento O. and Tavazoie S. 2005. Fast and systematic genome-wide discovery of conserved regulatory elements using a non-alignment based approach. Genome Biology 6 2 (2005).  Elemento O. and Tavazoie S. 2005. Fast and systematic genome-wide discovery of conserved regulatory elements using a non-alignment based approach. Genome Biology 6 2 (2005).","DOI":"10.1186\/gb-2005-6-2-r18"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1038\/nprot.2008.195"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.str.2008.03.015"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrm2395"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1038\/ng1901"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gks206"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(82)90024-3"},{"key":"e_1_3_2_1_20_1","unstructured":"Haykin S. S. 2009. Neural networks and learning machines New York: Prentice Hall\/ Pearson.  Haykin S. S. 2009. Neural networks and learning machines New York: Prentice Hall\/ Pearson."},{"key":"e_1_3_2_1_21_1","volume-title":"Retrieved","author":"Guigo R.","year":"2016"},{"key":"e_1_3_2_1_22_1","volume-title":"Proc. ASCI, 95--102","author":"Juszczak P."},{"key":"e_1_3_2_1_23_1","volume-title":"New York: Cambridge University Press.","author":"Manning C. D.","year":"2008"},{"key":"e_1_3_2_1_24_1","volume-title":"NESUG proceedings: health care and life sciences","author":"Zhu W."},{"key":"e_1_3_2_1_25_1","unstructured":"Palm R. B. 2012. Prediction as a candidate for learning deep hierarchical models of data. Technical University of Denmark DTU Informatics Denmark.  Palm R. B. 2012. Prediction as a candidate for learning deep hierarchical models of data. Technical University of Denmark DTU Informatics Denmark."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bpj.2012.08.030"}],"event":{"name":"CSBio '16: 7th International Conference on Computational Systems-Biology and Bioinformatics","location":"Macau Macao","acronym":"CSBio '16"},"container-title":["Proceedings of the 7th International Conference on Computational Systems-Biology and Bioinformatics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3029375.3029380","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3029375.3029380","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:23:15Z","timestamp":1750220595000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3029375.3029380"}},"subtitle":["An Integration of Gapped Motif Feature Representation and Deep Learning Approach for Enhancer Prediction"],"short-title":[],"issued":{"date-parts":[[2016,12,19]]},"references-count":26,"alternative-id":["10.1145\/3029375.3029380","10.1145\/3029375"],"URL":"https:\/\/doi.org\/10.1145\/3029375.3029380","relation":{},"subject":[],"published":{"date-parts":[[2016,12,19]]},"assertion":[{"value":"2016-12-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}