{"id":"https://openalex.org/W2754195720","doi":"https://doi.org/10.1109/access.2017.2751499","title":"BAMORF: A Novel Computational Method for Predicting the Extracellular Matrix Proteins","display_name":"BAMORF: A Novel Computational Method for Predicting the Extracellular Matrix Proteins","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2754195720","doi":"https://doi.org/10.1109/access.2017.2751499","mag":"2754195720"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2751499","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2751499","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2017.2751499","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020183955","display_name":"Lianzhong Guan","orcid":"https://orcid.org/0000-0002-6694-4077"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lianzhong Guan","raw_affiliation_strings":["School of Physical Education, Northeast Normal University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-6694-4077","affiliations":[{"raw_affiliation_string":"School of Physical Education, Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101544062","display_name":"Shouwei Zhang","orcid":"https://orcid.org/0000-0001-6481-1994"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouwei Zhang","raw_affiliation_strings":["School of Physical Education, Northeast Normal University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0001-6481-1994","affiliations":[{"raw_affiliation_string":"School of Physical Education, Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048399287","display_name":"Hongqi Xu","orcid":"https://orcid.org/0000-0002-9481-3787"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongqi Xu","raw_affiliation_strings":["School of Physical Education, Northeast Normal University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physical Education, Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020183955"],"corresponding_institution_ids":["https://openalex.org/I184983240"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0094,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.75820913,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"5","issue":null,"first_page":"18498","last_page":"18505"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/extracellular-matrix","display_name":"Extracellular matrix","score":0.8376563787460327},{"id":"https://openalex.org/keywords/multicellular-organism","display_name":"Multicellular organism","score":0.6506220102310181},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6127186417579651},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4947592616081238},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.47843626141548157},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42955952882766724},{"id":"https://openalex.org/keywords/molecular-biophysics","display_name":"Molecular biophysics","score":0.4183715283870697},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4100063145160675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3609015941619873},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.3458384871482849},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.25837442278862},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.22490450739860535},{"id":"https://openalex.org/keywords/cell-biology","display_name":"Cell biology","score":0.220159649848938},{"id":"https://openalex.org/keywords/biochemistry","display_name":"Biochemistry","score":0.11848267912864685},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.08381316065788269}],"concepts":[{"id":"https://openalex.org/C189165786","wikidata":"https://www.wikidata.org/wiki/Q193825","display_name":"Extracellular matrix","level":2,"score":0.8376563787460327},{"id":"https://openalex.org/C74318829","wikidata":"https://www.wikidata.org/wiki/Q36458","display_name":"Multicellular organism","level":3,"score":0.6506220102310181},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6127186417579651},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4947592616081238},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.47843626141548157},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42955952882766724},{"id":"https://openalex.org/C70636015","wikidata":"https://www.wikidata.org/wiki/Q4300350","display_name":"Molecular biophysics","level":2,"score":0.4183715283870697},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4100063145160675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3609015941619873},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3458384871482849},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.25837442278862},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.22490450739860535},{"id":"https://openalex.org/C95444343","wikidata":"https://www.wikidata.org/wiki/Q7141","display_name":"Cell biology","level":1,"score":0.220159649848938},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.11848267912864685},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.08381316065788269},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2017.2751499","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2751499","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fefebd9a258e48a8b6be2d8f013b5323","is_oa":true,"landing_page_url":"https://doaj.org/article/fefebd9a258e48a8b6be2d8f013b5323","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 5, Pp 18498-18505 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2751499","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2751499","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1967195968","https://openalex.org/W1972889687","https://openalex.org/W1980256262","https://openalex.org/W1981722221","https://openalex.org/W1995562870","https://openalex.org/W2000371303","https://openalex.org/W2005038754","https://openalex.org/W2007719816","https://openalex.org/W2008895011","https://openalex.org/W2020651251","https://openalex.org/W2028635543","https://openalex.org/W2034070267","https://openalex.org/W2038681300","https://openalex.org/W2069182579","https://openalex.org/W2081746584","https://openalex.org/W2089723196","https://openalex.org/W2090561245","https://openalex.org/W2092369184","https://openalex.org/W2099861610","https://openalex.org/W2104659745","https://openalex.org/W2106141559","https://openalex.org/W2110459103","https://openalex.org/W2110957748","https://openalex.org/W2116201301","https://openalex.org/W2130201056","https://openalex.org/W2131495509","https://openalex.org/W2143635696","https://openalex.org/W2165122639","https://openalex.org/W2574487522","https://openalex.org/W2911964244","https://openalex.org/W6679426639"],"related_works":["https://openalex.org/W1963836821","https://openalex.org/W2522472446","https://openalex.org/W2145740829","https://openalex.org/W345142232","https://openalex.org/W4281994149","https://openalex.org/W2166797439","https://openalex.org/W2805325890","https://openalex.org/W4247350725","https://openalex.org/W2047408065","https://openalex.org/W2743200826"],"abstract_inverted_index":{"Extracellular":[0],"matrix":[1],"(ECM)":[2],"proteins":[3,44,57],"play":[4],"a":[5,22,51,70,101,117,132,136,140],"major":[6],"role":[7],"in":[8],"the":[9,31,36,42,55,59,65,82,112,159,165,181],"tissues":[10],"of":[11,104,134,138,144,153,176],"multicellular":[12],"organisms.":[13],"The":[14,155],"ECM":[15,43,56,83,122],"presents":[16],"structural":[17],"support":[18],"for":[19,53,111],"cells":[20],"inside":[21],"tumor.":[23],"Meanwhile,":[24],"it":[25,171],"also":[26],"works":[27],"homeostatically":[28],"to":[29,40,80,99],"mediate":[30],"interaction":[32],"between":[33],"cells.":[34],"However,":[35],"current":[37],"bioinformatics":[38],"tools":[39],"predict":[41,81],"seem":[45],"often":[46],"fail.":[47],"This":[48],"paper":[49],"introduces":[50],"method":[52,79,161],"predicting":[54],"from":[58],"protein":[60,84],"sequence":[61],"as":[62,64],"well":[63],"molecular":[66],"characteristics.":[67],"We":[68],"report":[69],"novel":[71],"hybrid":[72],"animal":[73,93],"migration":[74,94],"optimization":[75,95],"and":[76,123,146,178],"random":[77],"forest":[78],"sequences":[85],"adapting":[86],"four":[87],"various":[88],"features":[89,106,177],"design":[90],"methods.":[91],"Binary":[92],"(AMORF)":[96],"is":[97,162],"used":[98],"select":[100],"near-optimal":[102],"subset":[103],"informative":[105],"that":[107,158,170],"are":[108],"most":[109],"relevant":[110],"classification.":[113],"AMORF":[114],"experiments":[115],"on":[116],"data":[118],"set,":[119],"including":[120],"145":[121],"3887":[124],"non-ECM":[125],"proteins.":[126],"Our":[127],"algorithm":[128],"performs":[129],"86.4700%":[130],"accuracy,":[131],"sensitive":[133],"84.9655%,":[135],"specificity":[137],"86.5261%,":[139],"Matthew's":[141],"correlation":[142],"coefficient":[143],"0.3627,":[145],"an":[147],"area":[148],"under":[149],"receiver":[150],"operating":[151],"characteristic":[152],"0.877804.":[154],"results":[156],"confirm":[157],"proposed":[160],"promising.":[163],"From":[164],"results,":[166],"we":[167],"can":[168,172],"summarize":[169],"choose":[173],"small":[174],"subsets":[175],"still":[179],"increase":[180],"classification":[182],"efficiency.":[183]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":8},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
