{"id":"https://openalex.org/W2614950447","doi":"https://doi.org/10.1504/ijdmb.2017.10005209","title":"Predicting microbial interactions from time series data with network information","display_name":"Predicting microbial interactions from time series data with network information","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2614950447","doi":"https://doi.org/10.1504/ijdmb.2017.10005209","mag":"2614950447"},"language":"en","primary_location":{"id":"doi:10.1504/ijdmb.2017.10005209","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijdmb.2017.10005209","pdf_url":null,"source":{"id":"https://openalex.org/S35771696","display_name":"International Journal of Data Mining and Bioinformatics","issn_l":"1748-5673","issn":["1748-5673","1748-5681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Mining and Bioinformatics","raw_type":"journal-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/A5100394163","display_name":"Fang Li","orcid":"https://orcid.org/0000-0001-8865-7717"},"institutions":[{"id":"https://openalex.org/I105991555","display_name":"Jingdezhen Ceramic Institute","ror":"https://ror.org/01d0jcz74","country_code":"CN","type":"education","lineage":["https://openalex.org/I105991555"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fang Li","raw_affiliation_strings":["Information Engineering College, Jing De Zhen Ceramic Institute, JiuJiang 333403, China"],"affiliations":[{"raw_affiliation_string":"Information Engineering College, Jing De Zhen Ceramic Institute, JiuJiang 333403, China","institution_ids":["https://openalex.org/I105991555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029057262","display_name":"Shaowu Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I205016115","display_name":"Hubei University of Chinese Medicine","ror":"https://ror.org/02my3bx32","country_code":"CN","type":"education","lineage":["https://openalex.org/I205016115"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaowu Shen","raw_affiliation_strings":["Institute of Standardization and Information Technology, Information Engineering College, Hubei University of Chinese Medicine, Wuhan 430065, China"],"affiliations":[{"raw_affiliation_string":"Institute of Standardization and Information Technology, Information Engineering College, Hubei University of Chinese Medicine, Wuhan 430065, China","institution_ids":["https://openalex.org/I205016115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003550654","display_name":"Xingpeng Jiang","orcid":"https://orcid.org/0000-0002-8848-9300"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingpeng Jiang","raw_affiliation_strings":["School of Computer Science, Central China Normal University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Central China Normal University, Wuhan 430079, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115695550","display_name":"Yan Wang","orcid":"https://orcid.org/0009-0002-2584-9337"},"institutions":[{"id":"https://openalex.org/I205016115","display_name":"Hubei University of Chinese Medicine","ror":"https://ror.org/02my3bx32","country_code":"CN","type":"education","lineage":["https://openalex.org/I205016115"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Information Engineering College, Hubei University of Chinese Medicine, Wuhan 430065, China"],"affiliations":[{"raw_affiliation_string":"Information Engineering College, Hubei University of Chinese Medicine, Wuhan 430065, China","institution_ids":["https://openalex.org/I205016115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101794400","display_name":"Mingzhi Mao","orcid":"https://orcid.org/0009-0003-8805-6614"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingzhi Mao","raw_affiliation_strings":["School of Mathematics and Physics, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111657910","display_name":"Wenping Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I205016115","display_name":"Hubei University of Chinese Medicine","ror":"https://ror.org/02my3bx32","country_code":"CN","type":"education","lineage":["https://openalex.org/I205016115"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenping Deng","raw_affiliation_strings":["Information Engineering College, Hubei University of Chinese Medicine, Wuhan 430065, China"],"affiliations":[{"raw_affiliation_string":"Information Engineering College, Hubei University of Chinese Medicine, Wuhan 430065, China","institution_ids":["https://openalex.org/I205016115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100394163"],"corresponding_institution_ids":["https://openalex.org/I105991555"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04249714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"2","first_page":"97","last_page":"97"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9994000196456909,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9994000196456909,"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/T10066","display_name":"Gut microbiota and health","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/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9975000023841858,"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/computer-science","display_name":"Computer science","score":0.6355544924736023},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.6185844540596008},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6061192154884338},{"id":"https://openalex.org/keywords/metagenomics","display_name":"Metagenomics","score":0.5466561317443848},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48831984400749207},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4561755359172821},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4332420527935028},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4118630588054657},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3305167853832245},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21499931812286377},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.16352850198745728},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15778467059135437},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15575054287910461}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6355544924736023},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.6185844540596008},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6061192154884338},{"id":"https://openalex.org/C15151743","wikidata":"https://www.wikidata.org/wiki/Q903778","display_name":"Metagenomics","level":3,"score":0.5466561317443848},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48831984400749207},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4561755359172821},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4332420527935028},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4118630588054657},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3305167853832245},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21499931812286377},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.16352850198745728},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15778467059135437},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15575054287910461},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijdmb.2017.10005209","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijdmb.2017.10005209","pdf_url":null,"source":{"id":"https://openalex.org/S35771696","display_name":"International Journal of Data Mining and Bioinformatics","issn_l":"1748-5673","issn":["1748-5673","1748-5681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Mining and Bioinformatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W126193691","https://openalex.org/W1971061059","https://openalex.org/W1991086178","https://openalex.org/W1996997642","https://openalex.org/W2011312755","https://openalex.org/W2034875436","https://openalex.org/W2038408944","https://openalex.org/W2039530176","https://openalex.org/W2043442946","https://openalex.org/W2055372420","https://openalex.org/W2056636001","https://openalex.org/W2060705109","https://openalex.org/W2074682976","https://openalex.org/W2084175761","https://openalex.org/W2097360283","https://openalex.org/W2113977541","https://openalex.org/W2122825543","https://openalex.org/W2135046866","https://openalex.org/W2135996415","https://openalex.org/W2176162833","https://openalex.org/W2274020214","https://openalex.org/W2334002433","https://openalex.org/W2525068948","https://openalex.org/W3102389945","https://openalex.org/W3105543546"],"related_works":["https://openalex.org/W638577851","https://openalex.org/W2968354375","https://openalex.org/W2359440920","https://openalex.org/W2889550857","https://openalex.org/W3013372948","https://openalex.org/W3135997498","https://openalex.org/W4242417330","https://openalex.org/W3198631238","https://openalex.org/W2349019353","https://openalex.org/W2154965898"],"abstract_inverted_index":{"The":[0,91,117,130],"evolution":[1],"of":[2,46,54,59,98,128,139],"biotechnological":[3],"knowledge":[4],"poses":[5],"some":[6],"new":[7],"challenges":[8],"to":[9,19,24,84],"study":[10],"microbial":[11,89,114],"interactions.":[12],"Vector":[13],"autoregressive":[14,79],"(VAR)":[15],"model":[16,80,123],"was":[17],"proved":[18],"be":[20],"an":[21],"efficient":[22],"approach":[23,147],"infer":[25,85],"dynamic":[26],"interactions":[27],"in":[28],"biological":[29],"systems.":[30],"However,":[31],"high-throughput":[32],"metagenomics":[33],"or":[34,61],"16S-rRNA":[35],"sequencing":[36],"data":[37,60,137],"is":[38,48],"high":[39],"dimension,":[40],"which":[41],"means":[42],"that":[43,144],"the":[44,52,57,96,99,126,145],"number":[45,53],"covariates":[47,64],"much":[49],"larger":[50],"than":[51,151],"observations.":[55],"Reducing":[56],"dimension":[58],"selecting":[62],"suitable":[63],"became":[65],"a":[66,76,109,134],"critical":[67],"component":[68],"VAR":[69],"modelling.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74],"develop":[75],"graph-regularised":[77],"vector":[78],"incorporating":[81],"network":[82,100,110],"information":[83],"causal":[86],"relationships":[87],"among":[88,102],"entities.":[90],"method":[92],"not":[93],"only":[94],"considers":[95],"signs":[97],"connections":[101],"any":[103],"two":[104],"covariates,":[105],"but":[106],"also":[107],"constructs":[108],"weighted":[111],"matrix":[112],"by":[113],"topology":[115],"information.":[116],"coordinate":[118],"descent":[119],"algorithm":[120],"for":[121],"estimating":[122],"parameters":[124],"improves":[125],"accuracy":[127],"prediction.":[129],"experimental":[131],"results":[132],"on":[133],"time":[135],"series":[136],"set":[138],"human":[140],"gut":[141],"microbiomes":[142],"indicate":[143],"proposed":[146],"has":[148],"better":[149],"performance":[150],"other":[152],"VAR-based":[153],"models":[154],"with":[155],"penalty":[156],"functions.":[157]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
