{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T17:29:49Z","timestamp":1730222989936,"version":"3.28.0"},"reference-count":17,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,7]]},"DOI":"10.1109\/fuzz-ieee.2014.6891769","type":"proceedings-article","created":{"date-parts":[[2014,9,10]],"date-time":"2014-09-10T15:51:42Z","timestamp":1410364302000},"page":"1360-1365","source":"Crossref","is-referenced-by-count":1,"title":["An ANFIS approach to transmembrane protein prediction"],"prefix":"10.1109","author":[{"given":"Hassan B.","family":"Kazemian","sequence":"first","affiliation":[]},{"given":"Syed A.","family":"Yusuf","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2012.10.006"},{"journal-title":"The Use of Neural Networks to Identify and Analyze Membrane Proteins in the Proteome","year":"2006","author":"bose","key":"15"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2013.11.017"},{"journal-title":"ANFIS Matlab Toolbox","year":"0","key":"13"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4020-8678-6_6"},{"journal-title":"Fuzzy and Neural Approaches in Engineering (Adaptive and Learning Systems for Signal Proce Ssing Communications and Control Series","year":"1997","author":"tsoukalas","key":"11"},{"journal-title":"Medical Image Classification and Symptoms Detection Using Neuro Fuzzy ANFIS Based Classification and Tumor Detection of the Brain Medical Image Pub LAP LAMBERT Academic Publishing","year":"0","author":"basri","key":"12"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1002\/pro.5560070420"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7091-0045-5"},{"key":"1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-60761-762-4"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.12.049"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1093\/protein\/10.6.673"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1002\/pro.5560050824"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/0022-2836(82)90515-0"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-6147(00)01584-4"},{"key":"9","article-title":"Best -helical transmembrane protein topology predictions are achieved using hidden Markov models and evolutionary information 10. 1110\/ps.04625404","volume":"13","author":"viklund","year":"2009","journal-title":"Protein Science [Online"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7091-0045-5"}],"event":{"name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","start":{"date-parts":[[2014,7,6]]},"location":"Beijing, China","end":{"date-parts":[[2014,7,11]]}},"container-title":["2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6880680\/6891523\/06891769.pdf?arnumber=6891769","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,14]],"date-time":"2020-10-14T15:07:35Z","timestamp":1602688055000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/6891769"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,7]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/fuzz-ieee.2014.6891769","relation":{},"subject":[],"published":{"date-parts":[[2014,7]]}}}