{"id":"https://openalex.org/W7167704419","doi":"https://doi.org/10.64898/2026.07.02.735197","title":"MetaboCensoR: A Shiny Application for Data Filtering in Untargeted LC-MS Metabolomics to Enhance Interpretability","display_name":"MetaboCensoR: A Shiny Application for Data Filtering in Untargeted LC-MS Metabolomics to Enhance Interpretability","publication_year":2026,"publication_date":"2026-07-07","ids":{"openalex":"https://openalex.org/W7167704419","doi":"https://doi.org/10.64898/2026.07.02.735197"},"language":"en","primary_location":{"id":"doi:10.64898/2026.07.02.735197","doi":"https://doi.org/10.64898/2026.07.02.735197","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.07.02.735197","pdf_url":null,"source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.64898/2026.07.02.735197","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042107834","display_name":"I. V. Plyushchenko","orcid":"https://orcid.org/0000-0003-3883-4695","observed_orcids":["https://orcid.org/0000-0003-3883-4695"]},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Ivan V. Plyushchenko","raw_affiliation_strings":["Department of Marine Biology, The Charney School of Marine Sciences, University of Haifa, Israel"],"raw_orcid":"https://orcid.org/0000-0003-3883-4695","affiliations":[{"raw_affiliation_string":"Department of Marine Biology, The Charney School of Marine Sciences, University of Haifa, Israel","institution_ids":["https://openalex.org/I91203450"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046871355","display_name":"Tal Luzzatto\u2010Knaan","orcid":"https://orcid.org/0000-0002-8392-0501","observed_orcids":["https://orcid.org/0000-0002-8392-0501"]},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Tal Luzzatto-Knaan","raw_affiliation_strings":["Department of Marine Biology, The Charney School of Marine Sciences, University of Haifa, Israel","The Interdisciplinary Center for Metabolomics, University of Haifa, Israel"],"raw_orcid":"https://orcid.org/0000-0002-8392-0501","affiliations":[{"raw_affiliation_string":"Department of Marine Biology, The Charney School of Marine Sciences, University of Haifa, Israel","institution_ids":["https://openalex.org/I91203450"]},{"raw_affiliation_string":"The Interdisciplinary Center for Metabolomics, University of Haifa, Israel","institution_ids":["https://openalex.org/I91203450"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5042107834"],"corresponding_institution_ids":["https://openalex.org/I91203450"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9984999895095825,"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/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9984999895095825,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.0003000000142492354,"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/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/data-filtering","display_name":"data filtering","score":0.8740000128746033},{"id":"https://openalex.org/keywords/molecular-networking","display_name":"molecular networking","score":0.7279999852180481},{"id":"https://openalex.org/keywords/differential-abundance-testing","display_name":"differential abundance testing","score":0.5879999995231628},{"id":"https://openalex.org/keywords/quality-control-filtering","display_name":"quality control filtering","score":0.5680000185966492},{"id":"https://openalex.org/keywords/feature-redundancy-reduction","display_name":"feature redundancy reduction","score":0.6639999747276306},{"id":"https://openalex.org/keywords/shiny-app","display_name":"Shiny app","score":0.5920000076293945},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.5019999742507935},{"id":"https://openalex.org/keywords/open-source-software","display_name":"open source software","score":0.5379999876022339}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9359999895095825},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6965000033378601},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6172000169754028},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5710999965667725},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5586000084877014},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5145000219345093},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5078999996185303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4487000107765198},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4115000069141388},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.3725000023841858},{"id":"https://openalex.org/C21565614","wikidata":"https://www.wikidata.org/wiki/Q12149006","display_name":"Metabolomics","level":2,"score":0.35260000824928284},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.3465999960899353},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.32260000705718994},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.30970001220703125},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3086000084877014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2955000102519989},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C2780977526","wikidata":"https://www.wikidata.org/wiki/Q42417149","display_name":"Data exploration","level":3,"score":0.2676999866962433},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.26269999146461487}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.64898/2026.07.02.735197","doi":"https://doi.org/10.64898/2026.07.02.735197","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.07.02.735197","pdf_url":null,"source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.64898/2026.07.02.735197","doi":"https://doi.org/10.64898/2026.07.02.735197","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.07.02.735197","pdf_url":null,"source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W143096088","https://openalex.org/W1944989862","https://openalex.org/W2025944550","https://openalex.org/W2091882991","https://openalex.org/W2103571642","https://openalex.org/W2162539049","https://openalex.org/W2168443820","https://openalex.org/W2168590651","https://openalex.org/W2318519065","https://openalex.org/W2325106992","https://openalex.org/W2590499380","https://openalex.org/W2725788675","https://openalex.org/W2744970765","https://openalex.org/W2899272056","https://openalex.org/W2912890609","https://openalex.org/W2922522932","https://openalex.org/W2924756238","https://openalex.org/W2944840932","https://openalex.org/W2946803898","https://openalex.org/W2950625953","https://openalex.org/W2991157178","https://openalex.org/W2999277961","https://openalex.org/W3004116476","https://openalex.org/W3016036651","https://openalex.org/W3037653626","https://openalex.org/W3080789666","https://openalex.org/W3112979009","https://openalex.org/W3119330152","https://openalex.org/W3173937265","https://openalex.org/W3174482775","https://openalex.org/W3175657781","https://openalex.org/W4213068307","https://openalex.org/W4295016733","https://openalex.org/W4311579404","https://openalex.org/W4378953325","https://openalex.org/W4394578957","https://openalex.org/W4398140932","https://openalex.org/W4400008098","https://openalex.org/W4401629863","https://openalex.org/W4402664770","https://openalex.org/W4402732569","https://openalex.org/W4403406009","https://openalex.org/W4404769321","https://openalex.org/W4404824788","https://openalex.org/W4406422155","https://openalex.org/W4408034498","https://openalex.org/W4409229284","https://openalex.org/W4412572177","https://openalex.org/W4412737743","https://openalex.org/W4416889896","https://openalex.org/W7162937859"],"related_works":["https://openalex.org/W2950625953","https://openalex.org/W6921060746","https://openalex.org/W2590499380","https://openalex.org/W3015372580","https://openalex.org/W3037653626","https://openalex.org/W3170571370","https://openalex.org/W3093642374","https://openalex.org/W7170112736","https://openalex.org/W2725788675","https://openalex.org/W2786870211"],"abstract_inverted_index":{"Abstract":[0],"Untargeted":[1],"LC-MS":[2,65],"metabolomics":[3,188],"datasets":[4,104],"often":[5],"contain":[6],"large":[7],"numbers":[8],"of":[9,93,159,186],"redundant":[10],"and":[11,24,43,56,68,87,111,123,134,154,164,183,209],"non-informative":[12],"features":[13,29],"arising":[14],"from":[15],"background":[16],"contaminants,":[17],"multiple":[18],"ion":[19,216],"forms,":[20],"poorly":[21],"integrated":[22],"peaks,":[23],"other":[25],"low-quality":[26],"signals.":[27],"These":[28],"complicate":[30],"downstream":[31,69,125,203],"analysis":[32],"by":[33],"inflating":[34],"feature":[35,121,165],"space,":[36],"degrading":[37],"molecular":[38,129],"networks,":[39],"impeding":[40],"pathway":[41],"analysis,":[42,133],"obscuring":[44],"statistically":[45],"meaningful":[46],"changes.":[47],"Here,":[48],"we":[49],"present":[50],"MetaboCensoR,":[51],"an":[52],"input-versatile":[53],"Shiny":[54],"application":[55],"local":[57],"R":[58],"package":[59],"that":[60],"bridges":[61],"the":[62],"gap":[63],"between":[64],"peak":[66,73,178],"picking":[67],"interpretation":[70,126],"through":[71],"analyte-centric":[72],"table":[74,179],"filtering.":[75],"The":[76,97],"workflow":[77],"integrates":[78],"four":[79],"fully":[80],"interactive":[81],"modules":[82],"for":[83,176,194,206],"blank,":[84],"ion-species,":[85],"quality-control,":[86],"peak-based":[88],"filtering,":[89],"with":[90],"synchronized":[91],"processing":[92],"associated":[94],"spectra":[95],"files.":[96],"tool":[98],"was":[99,143],"evaluated":[100],"across":[101,201],"three":[102,202],"independent":[103],"covering":[105],"plant":[106],"extracts,":[107],"human":[108],"cell":[109],"lines,":[110],"bacterial":[112],"interactions.":[113],"Across":[114],"these":[115,168],"case":[116],"studies,":[117],"data":[118,197],"filtering":[119,198],"reduced":[120],"redundancy":[122,217],"improved":[124],"in":[127],"feature-based":[128],"networking,":[130],"pathway-level":[131],"functional":[132],"differential":[135],"abundance":[136],"testing,":[137],"while":[138],"retaining":[139],"known":[140],"analytes.":[141],"MetaboCensoR":[142,171],"systematically":[144],"benchmarked":[145],"against":[146,212],"existing":[147],"tools,":[148],"demonstrating":[149],"comparable":[150],"ion-species":[151],"annotation":[152],"coverage":[153],"a":[155,173],"favorable":[156],"overall":[157],"balance":[158],"target":[160,207],"recovery,":[161],"adduct":[162],"precision,":[163],"reduction.":[166],"Together,":[167],"evaluations":[169],"support":[170],"as":[172],"robust":[174],"approach":[175],"systematic":[177],"curation,":[180],"enhancing":[181],"interpretability":[182,200],"analytical":[184],"value":[185],"untargeted":[187,195],"data.":[189],"Highlights":[190],"Open-source":[191],"R/Shiny":[192],"GUI":[193],"LC\u2013MS":[196],"Enhanced":[199],"workflows":[204],"Validated":[205],"recovery":[208],"precision":[210],"Benchmarked":[211],"established":[213],"tools":[214],"Robust":[215],"removal":[218]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-07-09T00:00:00"}