{"id":"https://openalex.org/W4391098159","doi":"https://doi.org/10.1038/s41598-024-51381-4","title":"Robustness and reproducibility for AI learning in biomedical sciences: RENOIR","display_name":"Robustness and reproducibility for AI learning in biomedical sciences: RENOIR","publication_year":2024,"publication_date":"2024-01-22","ids":{"openalex":"https://openalex.org/W4391098159","doi":"https://doi.org/10.1038/s41598-024-51381-4","pmid":"https://pubmed.ncbi.nlm.nih.gov/38253545","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/10810363"},"language":"en","primary_location":{"id":"doi:10.1038/s41598-024-51381-4","doi":"https://doi.org/10.1038/s41598-024-51381-4","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-024-51381-4","pdf_url":"https://www.nature.com/articles/s41598-024-51381-4.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.nature.com/articles/s41598-024-51381-4.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083207399","display_name":"Alessandro Barberis","orcid":"https://orcid.org/0000-0002-6718-855X","observed_orcids":["https://orcid.org/0000-0002-6718-855X"]},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Alessandro Barberis","raw_affiliation_strings":["Computational Biology and Integrative Genomics Lab, Department of Oncology, Medical Sciences Division, University of Oxford, Oxford, OX3 7DQ, UK. dr.alessandro.barberis@gmail.com","Nuffield Department of Surgical Sciences, Medical Sciences Division, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford, OX3 7DQ, UK. dr.alessandro.barberis@gmail.com","Nuffield Department of Surgical Sciences, Medical Sciences Division, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford, OX3 7DQ, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Biology and Integrative Genomics Lab, Department of Oncology, Medical Sciences Division, University of Oxford, Oxford, OX3 7DQ, UK. dr.alessandro.barberis@gmail.com","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Nuffield Department of Surgical Sciences, Medical Sciences Division, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford, OX3 7DQ, UK. dr.alessandro.barberis@gmail.com","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Nuffield Department of Surgical Sciences, Medical Sciences Division, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford, OX3 7DQ, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001452511","display_name":"Hugo J.W.L. Aerts","orcid":"https://orcid.org/0000-0002-2122-2003","observed_orcids":["https://orcid.org/0000-0002-2122-2003"]},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I121934306","https://openalex.org/I1283280774","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]},{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I4210117453","display_name":"Dana-Farber Cancer Institute","ror":"https://ror.org/02jzgtq86","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210117453"]},{"id":"https://openalex.org/I4210161994","display_name":"Dana-Farber Brigham Cancer Center","ror":"https://ror.org/05rgrbr06","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I121934306","https://openalex.org/I1283280774","https://openalex.org/I4210117453","https://openalex.org/I4210161994","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I48633490","display_name":"Mass General Brigham","ror":"https://ror.org/04py2rh25","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I48633490"]}],"countries":["NL","US"],"is_corresponding":false,"raw_author_name":"Hugo J. W. L. Aerts","raw_affiliation_strings":["Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA","Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA","Radiation Oncology and Radiology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA","Radiology and Nuclear Medicine, GROW & CARIM, Maastricht University, Maastricht, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984","https://openalex.org/I48633490"]},{"raw_affiliation_string":"Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984","https://openalex.org/I4210087915"]},{"raw_affiliation_string":"Radiation Oncology and Radiology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984","https://openalex.org/I4210117453","https://openalex.org/I4210161994"]},{"raw_affiliation_string":"Radiology and Nuclear Medicine, GROW & CARIM, Maastricht University, Maastricht, The Netherlands","institution_ids":["https://openalex.org/I34352273"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075865182","display_name":"Francesca Meteora Buffa","orcid":"https://orcid.org/0000-0003-0409-406X","observed_orcids":["https://orcid.org/0000-0003-0409-406X"]},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]},{"id":"https://openalex.org/I4210114103","display_name":"IFOM","ror":"https://ror.org/02hcsa680","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210114103"]},{"id":"https://openalex.org/I71209653","display_name":"Bocconi University","ror":"https://ror.org/05crjpb27","country_code":"IT","type":"education","lineage":["https://openalex.org/I71209653"]}],"countries":["GB","IT"],"is_corresponding":true,"raw_author_name":"Francesca M. Buffa","raw_affiliation_strings":["AI and Systems Biology, IFOM ETS, 20139, Milan, Italy. francesca.buffa@unibocconi.it","Computational Biology and Integrative Genomics Lab, Department of Oncology, Medical Sciences Division, University of Oxford, Oxford, OX3 7DQ, UK. francesca.buffa@unibocconi.it","Department of Computing Sciences and Bocconi Institute for Data Science and Analytics (BIDSA), Bocconi University, 20100, Milan, Italy. francesca.buffa@unibocconi.it","Computational Biology and Integrative Genomics Lab, Department of Oncology, Medical Sciences Division, University of Oxford, Oxford, OX3 7DQ, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI and Systems Biology, IFOM ETS, 20139, Milan, Italy. francesca.buffa@unibocconi.it","institution_ids":["https://openalex.org/I4210114103"]},{"raw_affiliation_string":"Computational Biology and Integrative Genomics Lab, Department of Oncology, Medical Sciences Division, University of Oxford, Oxford, OX3 7DQ, UK. francesca.buffa@unibocconi.it","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Department of Computing Sciences and Bocconi Institute for Data Science and Analytics (BIDSA), Bocconi University, 20100, Milan, Italy. francesca.buffa@unibocconi.it","institution_ids":["https://openalex.org/I71209653"]},{"raw_affiliation_string":"Computational Biology and Integrative Genomics Lab, Department of Oncology, Medical Sciences Division, University of Oxford, Oxford, OX3 7DQ, UK","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5075865182","https://openalex.org/A5083207399"],"corresponding_institution_ids":["https://openalex.org/I40120149","https://openalex.org/I4210114103","https://openalex.org/I71209653"],"apc_list":{"value":2590,"currency":"USD","value_usd":2590},"apc_paid":{"value":2590,"currency":"USD","value_usd":2590},"fwci":8.6018,"has_fulltext":true,"cited_by_count":32,"citation_normalized_percentile":{"value":0.97486234,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":"14","issue":"1","first_page":"1933","last_page":"1933"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.8804000020027161,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.8804000020027161,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.05389999970793724,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.006399999838322401,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/renoir","display_name":"Renoir","score":0.9240000247955322},{"id":"https://openalex.org/keywords/reproducibility","display_name":"reproducibility","score":0.8259999752044678},{"id":"https://openalex.org/keywords/robustness","display_name":"robustness","score":0.8069999814033508},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.7239999771118164},{"id":"https://openalex.org/keywords/open-source-software","display_name":"open source software","score":0.6060000061988831},{"id":"https://openalex.org/keywords/sample-size-dependence","display_name":"sample size dependence","score":0.6679999828338623},{"id":"https://openalex.org/keywords/automatic-report-generation","display_name":"automated reporting","score":0.7480000257492065},{"id":"https://openalex.org/keywords/research-waste","display_name":"research waste","score":0.6909999847412109},{"id":"https://openalex.org/keywords/tp53-mutation","display_name":"TP53 mutation","score":0.9819999933242798},{"id":"https://openalex.org/keywords/cancer-classification","display_name":"cancer classification","score":0.847000002861023},{"id":"https://openalex.org/keywords/drug-efficacy-prediction","display_name":"drug efficacy prediction","score":0.9710000157356262},{"id":"https://openalex.org/keywords/biomedical-data-analysis","display_name":"biomedical data analysis","score":0.30799999833106995}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7249364852905273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7054926156997681},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6009819507598877},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.564644992351532},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.5441365242004395},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4612833857536316},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.436259388923645},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4152088761329651},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":7,"locations":[{"id":"doi:10.1038/s41598-024-51381-4","doi":"https://doi.org/10.1038/s41598-024-51381-4","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-024-51381-4","pdf_url":"https://www.nature.com/articles/s41598-024-51381-4.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10810363","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10810363","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10810363/pdf/41598_2024_Article_51381.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sci Rep","raw_type":"Text"},{"id":"pmid:38253545","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38253545","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific reports","raw_type":"Journal Article"},{"id":"pmh:oai:cris.maastrichtuniversity.nl:openaire/c0aa7c78-1499-4baa-8aca-12c7dbb24423","doi":null,"is_oa":true,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/c0aa7c78-1499-4baa-8aca-12c7dbb24423","pdf_url":null,"source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Barberis, A, Aerts, H J W L & Buffa, F M 2024, 'Robustness and reproducibility for AI learning in biomedical sciences : RENOIR', Scientific Reports, vol. 14, no. 1, 1933. https://doi.org/10.1038/s41598-024-51381-4","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:iris.unibocconi.it:11565/4064856","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11565/4064856","pdf_url":"https://iris.unibocconi.it/bitstream/11565/4064856/1/s41598-024-51381-4.pdf","source":{"id":"https://openalex.org/S7407055170","display_name":"Archivio istituzionale della Ricerca - Bocconi","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:10be48a67e44427ba72374df1179b214","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/10be48a67e44427ba72374df1179b214","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,"listed_in":[],"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":"Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)","raw_type":"article"},{"id":"pmh:oai:ora.ox.ac.uk:uuid:cb23a116-c91a-4e4e-ad55-166340ec5ecb","doi":null,"is_oa":true,"landing_page_url":"https://ora.ox.ac.uk/objects/uuid:cb23a116-c91a-4e4e-ad55-166340ec5ecb","pdf_url":null,"source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Jisc Publications Router","raw_type":"Journal article"}],"best_oa_location":{"id":"doi:10.1038/s41598-024-51381-4","doi":"https://doi.org/10.1038/s41598-024-51381-4","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-024-51381-4","pdf_url":"https://www.nature.com/articles/s41598-024-51381-4.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G7560798608","display_name":null,"funder_award_id":"MA-CT20-006","funder_id":"https://openalex.org/F4320320292","funder_display_name":"Prostate Cancer UK"},{"id":"https://openalex.org/G8190321177","display_name":null,"funder_award_id":"23969","funder_id":"https://openalex.org/F4320319985","funder_display_name":"Cancer Research UK"},{"id":"https://openalex.org/G8628288017","display_name":null,"funder_award_id":"772970","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"}],"funders":[{"id":"https://openalex.org/F4320309966","display_name":"\u00c9cole Normale Sup\u00e9rieure","ror":"https://ror.org/05a0dhs15"},{"id":"https://openalex.org/F4320319985","display_name":"Cancer Research UK","ror":"https://ror.org/054225q67"},{"id":"https://openalex.org/F4320320292","display_name":"Prostate Cancer UK","ror":"https://ror.org/04dkv6329"},{"id":"https://openalex.org/F4320323716","display_name":"Universit\u00e0 Bocconi","ror":"https://ror.org/05crjpb27"},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391098159.pdf","grobid_xml":"https://content.openalex.org/works/W4391098159.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1987777080","https://openalex.org/W2049701820","https://openalex.org/W2081930221","https://openalex.org/W2091947792","https://openalex.org/W2104846587","https://openalex.org/W2146512944","https://openalex.org/W2154290668","https://openalex.org/W2154560360","https://openalex.org/W2157795344","https://openalex.org/W2321421327","https://openalex.org/W2406493898","https://openalex.org/W2745146355","https://openalex.org/W2787894218","https://openalex.org/W2912652107","https://openalex.org/W2975578922","https://openalex.org/W2994958138","https://openalex.org/W3008058947","https://openalex.org/W3013294478","https://openalex.org/W3034750607","https://openalex.org/W3037405958","https://openalex.org/W3083804794","https://openalex.org/W3090528923","https://openalex.org/W3095646255","https://openalex.org/W3111576037","https://openalex.org/W3121050787","https://openalex.org/W3197433610","https://openalex.org/W3201812816","https://openalex.org/W4200247206","https://openalex.org/W4213308398","https://openalex.org/W4294107304","https://openalex.org/W4385462147","https://openalex.org/W4388196908"],"related_works":["https://openalex.org/W7117565150","https://openalex.org/W3134750715","https://openalex.org/W4389771368","https://openalex.org/W4312774876","https://openalex.org/W3215533170","https://openalex.org/W4385018165","https://openalex.org/W7202024654","https://openalex.org/W7168695879","https://openalex.org/W4414988477","https://openalex.org/W4322619436"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"(AI)":[2],"techniques":[3],"are":[4],"increasingly":[5],"applied":[6,137],"across":[7],"various":[8],"domains,":[9],"favoured":[10],"by":[11],"the":[12,54,58,97,100,103,106,122,131],"growing":[13],"acquisition":[14],"and":[15,33,41,51,76,89,116,124,146,151,170],"public":[16],"availability":[17],"of":[18,31,36,57,93,99,102,114,126,133],"large,":[19],"complex":[20],"datasets.":[21],"Despite":[22],"this":[23],"trend,":[24],"AI":[25,59,127],"publications":[26],"often":[27],"suffer":[28],"from":[29,142],"lack":[30],"reproducibility":[32,125],"poor":[34],"generalisation":[35],"findings,":[37],"undermining":[38],"scientific":[39],"value":[40],"contributing":[42],"to":[43,120,139,186],"global":[44],"research":[45],"waste.":[46],"To":[47,129],"address":[48,187],"these":[49],"issues":[50],"focusing":[52],"on":[53,105],"learning":[55,79],"aspect":[56],"field,":[60],"we":[61,136,155,177],"present":[62,178],"RENOIR":[63,82,110,183,194],"(REpeated":[64],"random":[65],"sampliNg":[66],"fOr":[67],"machIne":[68],"leaRning),":[69],"a":[70,179,188],"modular":[71],"open-source":[72],"platform":[73],"for":[74,86,168],"robust":[75],"reproducible":[77],"machine":[78],"(ML)":[80],"analysis.":[81],"adopts":[83],"standardised":[84],"pipelines":[85],"model":[87],"training":[88],"testing,":[90],"introducing":[91],"elements":[92],"novelty,":[94],"such":[95],"as":[96],"dependence":[98],"performance":[101],"algorithm":[104],"sample":[107],"size.":[108],"Additionally,":[109],"offers":[111],"automated":[112],"generation":[113],"transparent":[115],"usable":[117],"reports,":[118],"aiming":[119],"enhance":[121],"quality":[123],"studies.":[128],"demonstrate":[130],"versatility":[132],"our":[134],"tool,":[135],"it":[138,165],"benchmark":[140],"datasets":[141],"health,":[143],"computer":[144],"science,":[145],"STEM":[147],"(Science,":[148],"Technology,":[149],"Engineering,":[150],"Mathematics)":[152],"domains.":[153],"Furthermore,":[154],"showcase":[156],"RENOIR's":[157],"successful":[158],"application":[159],"in":[160,174],"recently":[161],"published":[162],"studies,":[163],"where":[164,182],"identified":[166],"classifiers":[167],"SET2D":[169],"TP53":[171],"mutation":[172],"status":[173],"cancer.":[175],"Finally,":[176],"use":[180],"case":[181],"was":[184],"employed":[185],"significant":[189],"pharmacological":[190],"challenge-predicting":[191],"drug":[192],"efficacy.":[193],"is":[195],"freely":[196],"available":[197],"at":[198],"https://github.com/alebarberis/renoir":[199],".":[200]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2024-01-23T00:00:00"}