{"id":"https://openalex.org/W4313452802","doi":"https://doi.org/10.1109/bibm55620.2022.9995453","title":"Multi-level translocation events analysis in solid-state nanopore current traces","display_name":"Multi-level translocation events analysis in solid-state nanopore current traces","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4313452802","doi":"https://doi.org/10.1109/bibm55620.2022.9995453"},"language":"en","primary_location":{"id":"doi:10.1109/bibm55620.2022.9995453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9995453","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112843832","display_name":"Xinlong Liu","orcid":"https://orcid.org/0009-0004-0063-9979"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinlong Liu","raw_affiliation_strings":["Industrial Research Institute,China Mobile (Chengdu),Chengdu,China,610000"],"affiliations":[{"raw_affiliation_string":"Industrial Research Institute,China Mobile (Chengdu),Chengdu,China,610000","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072806803","display_name":"Zepeng Sun","orcid":"https://orcid.org/0000-0002-9846-4174"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zepeng Sun","raw_affiliation_strings":["Industrial Research Institute,China Mobile (Chengdu),Chengdu,China,610000"],"affiliations":[{"raw_affiliation_string":"Industrial Research Institute,China Mobile (Chengdu),Chengdu,China,610000","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075564585","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0003-3388-3009"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Southeast University,School of Mechanical Engineering,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"Southeast University,School of Mechanical Engineering,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100611796","display_name":"Feng Qiao","orcid":"https://orcid.org/0000-0003-4333-5401"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Qiao","raw_affiliation_strings":["Industrial Research Institute,China Mobile (Chengdu),Chengdu,China,610000"],"affiliations":[{"raw_affiliation_string":"Industrial Research Institute,China Mobile (Chengdu),Chengdu,China,610000","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031842140","display_name":"Li Cui","orcid":"https://orcid.org/0000-0001-9814-6945"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Cui","raw_affiliation_strings":["Industrial Research Institute,China Mobile (Chengdu),Chengdu,China,610000"],"affiliations":[{"raw_affiliation_string":"Industrial Research Institute,China Mobile (Chengdu),Chengdu,China,610000","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024036992","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0001-5481-7962"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yang","raw_affiliation_strings":["Southeast University,School of Life Science and and Technology,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"Southeast University,School of Life Science and and Technology,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021448891","display_name":"Jingjie Sha","orcid":"https://orcid.org/0000-0002-0797-4460"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjie Sha","raw_affiliation_strings":["Southeast University,School of Mechanical Engineering,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"Southeast University,School of Mechanical Engineering,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657730","display_name":"Jian Li","orcid":"https://orcid.org/0000-0001-8706-6421"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Li","raw_affiliation_strings":["Southeast University,School of Life Science and and Technology,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"Southeast University,School of Life Science and and Technology,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058779671","display_name":"Liqun Xu","orcid":"https://orcid.org/0000-0001-8451-548X"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li-Qun Xu","raw_affiliation_strings":["Industrial Research Institute,China Mobile (Chengdu),Chengdu,China,610000"],"affiliations":[{"raw_affiliation_string":"Industrial Research Institute,China Mobile (Chengdu),Chengdu,China,610000","institution_ids":["https://openalex.org/I180662265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5112843832"],"corresponding_institution_ids":["https://openalex.org/I180662265"],"apc_list":null,"apc_paid":null,"fwci":0.6427,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66203983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1648","last_page":"1653"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11582","display_name":"Nanopore and Nanochannel Transport Studies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11582","display_name":"Nanopore and Nanochannel Transport Studies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9865999817848206,"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/event","display_name":"Event (particle physics)","score":0.7563436627388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6381676197052002},{"id":"https://openalex.org/keywords/nanopore","display_name":"Nanopore","score":0.6186150908470154},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.47488468885421753},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4706030786037445},{"id":"https://openalex.org/keywords/current","display_name":"Current (fluid)","score":0.46216297149658203},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4520280063152313},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44625645875930786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36811262369155884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35602566599845886},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2449437379837036},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15669479966163635},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10967519879341125},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09820172190666199}],"concepts":[{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7563436627388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6381676197052002},{"id":"https://openalex.org/C141795571","wikidata":"https://www.wikidata.org/wiki/Q580942","display_name":"Nanopore","level":2,"score":0.6186150908470154},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.47488468885421753},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4706030786037445},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.46216297149658203},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4520280063152313},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44625645875930786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36811262369155884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35602566599845886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2449437379837036},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15669479966163635},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10967519879341125},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09820172190666199},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm55620.2022.9995453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9995453","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1971649883","https://openalex.org/W1994782728","https://openalex.org/W2016656173","https://openalex.org/W2027359820","https://openalex.org/W2032711662","https://openalex.org/W2075276081","https://openalex.org/W2137018822","https://openalex.org/W2308827608","https://openalex.org/W2346680365","https://openalex.org/W2540379510","https://openalex.org/W2563493802","https://openalex.org/W2889809221","https://openalex.org/W2909693411","https://openalex.org/W2939005184","https://openalex.org/W2949303487","https://openalex.org/W2962954463","https://openalex.org/W2967166178","https://openalex.org/W2978233975","https://openalex.org/W2995125854","https://openalex.org/W3006545642","https://openalex.org/W3088197158","https://openalex.org/W3097054979","https://openalex.org/W3124014614","https://openalex.org/W3194068388","https://openalex.org/W3196438430","https://openalex.org/W4220999759","https://openalex.org/W4306180661","https://openalex.org/W6698187734"],"related_works":["https://openalex.org/W2055215578","https://openalex.org/W3097090396","https://openalex.org/W2734703372","https://openalex.org/W2267068863","https://openalex.org/W1989500433","https://openalex.org/W2328692626","https://openalex.org/W2924313437","https://openalex.org/W3141442004","https://openalex.org/W1986165536","https://openalex.org/W2025735958"],"abstract_inverted_index":{"Solid-state":[0],"nanopores":[1],"have":[2],"shown":[3],"impressive":[4],"performances":[5],"in":[6],"several":[7],"sequencing":[8],"research":[9],"scenarios,":[10,24],"such":[11],"as":[12],"biomolecule":[13],"conformation":[14],"detection,":[15],"biomarker":[16],"identification,":[17],"and":[18,118,170,192],"protein":[19],"fingerprinting.":[20],"In":[21,88],"all":[22],"these":[23],"accurate":[25],"event":[26,37,95],"detection":[27,38,96],"is":[28,61,76,102,193],"the":[29,50,63,71,80,99,105,125,130,138,158,199,206],"fundamental":[30],"step":[31],"toward":[32],"data":[33],"analysis.":[34],"Most":[35],"existing":[36],"methods":[39],"use":[40],"either":[41],"user-defined":[42],"thresholds":[43,46],"or":[44],"adaptive":[45],"determined":[47],"automatically":[48],"by":[49,108,167],"data.":[51],"The":[52,175],"former":[53],"class":[54],"depends":[55],"heavily":[56],"on":[57,124,160,183],"human":[58],"expertise,":[59],"which":[60],"labor-intensive;":[62],"latter":[64],"appears":[65],"to":[66,145,196],"be":[67],"more":[68],"advanced,":[69],"however,":[70],"setting":[72],"of":[73,163,202,205],"threshold":[74,101],"parameters":[75],"somewhat":[77],"tricky.":[78],"Hence,":[79],"results":[81,176],"are":[82,121,150],"usually":[83],"inconsistent":[84],"among":[85],"different":[86],"methods.":[87],"this":[89],"paper,":[90],"we":[91,141],"develop":[92],"a":[93,143],"novel":[94],"method,":[97],"where":[98],"selection":[100],"computed":[103],"following":[104],"principle":[106],"governed":[107],"an":[109],"analytical":[110],"expression.":[111],"Unlike":[112],"other":[113],"methods,":[114],"each":[115,153,203],"event\u2019s":[116],"starting":[117],"ending":[119],"points":[120,201],"located":[122],"based":[123],"slope":[126],"rather":[127],"than":[128],"picking":[129],"first":[131],"point":[132],"whose":[133],"current":[134,164],"value":[135],"goes":[136],"across":[137],"baseline.":[139],"Moreover,":[140],"add":[142],"method":[144,159,180],"determine":[146],"whether":[147],"multiple":[148],"levels":[149],"present":[151],"within":[152],"event.":[154],"We":[155],"then":[156],"evaluate":[157],"two":[161],"groups":[162],"traces":[165],"generated":[166],"short":[168],"ssDNA":[169],"48.5kb":[171],"\u03bb-DNA":[172],"samples,":[173],"respectively.":[174],"show":[177],"that":[178],"our":[179],"performs":[181],"well":[182],"detecting":[184],"challenging":[185],"translocation":[186],"events":[187],"with":[188],"relatively":[189],"low":[190],"amplitudes,":[191],"also":[194],"able":[195],"accurately":[197],"locate":[198],"starting/end":[200],"level":[204],"events.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}