{"id":"https://openalex.org/W7129672417","doi":"https://doi.org/10.1186/s12859-025-06221-1","title":"Transfer learning models for bacterial strain dissemination biomarkers using weighted non-parallel proximal support vector machines","display_name":"Transfer learning models for bacterial strain dissemination biomarkers using weighted non-parallel proximal support vector machines","publication_year":2026,"publication_date":"2026-02-17","ids":{"openalex":"https://openalex.org/W7129672417","doi":"https://doi.org/10.1186/s12859-025-06221-1","pmid":"https://pubmed.ncbi.nlm.nih.gov/41703455"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-025-06221-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-025-06221-1","pdf_url":null,"source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1186/s12859-025-06221-1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126265173","display_name":"Ugochukwu O. Ugwu","orcid":null},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]},{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]},{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ugochukwu O. Ugwu","raw_affiliation_strings":["Pattern Analysis Laboratory, Colorado State University, Fort Collins, CO, 80523, USA. uouresearch@gmail.com","Research Computing Center, University of Chicago, Chicago, IL, 60637, USA. uouresearch@gmail.com","Tufts Advanced Microscopic Imaging Center, Tufts University, Medford, MA, 02155, USA. uouresearch@gmail.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Analysis Laboratory, Colorado State University, Fort Collins, CO, 80523, USA. uouresearch@gmail.com","institution_ids":["https://openalex.org/I92446798"]},{"raw_affiliation_string":"Research Computing Center, University of Chicago, Chicago, IL, 60637, USA. uouresearch@gmail.com","institution_ids":["https://openalex.org/I40347166"]},{"raw_affiliation_string":"Tufts Advanced Microscopic Imaging Center, Tufts University, Medford, MA, 02155, USA. uouresearch@gmail.com","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025665480","display_name":"Richard A. Slayden","orcid":"https://orcid.org/0000-0001-6857-7277"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard A. Slayden","raw_affiliation_strings":["Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, 80523, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, 80523, USA","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061567476","display_name":"Michael Kirby","orcid":"https://orcid.org/0000-0001-9802-9263"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Kirby","raw_affiliation_strings":["Department of Mathematics, Colorado State University, Fort Collins, CO, 80523, USA","Pattern Analysis Laboratory, Colorado State University, Fort Collins, CO, 80523, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Colorado State University, Fort Collins, CO, 80523, USA","institution_ids":["https://openalex.org/I92446798"]},{"raw_affiliation_string":"Pattern Analysis Laboratory, Colorado State University, Fort Collins, CO, 80523, USA","institution_ids":["https://openalex.org/I92446798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5126265173"],"corresponding_institution_ids":["https://openalex.org/I121934306","https://openalex.org/I40347166","https://openalex.org/I92446798"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12688164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.5989000201225281,"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":0.5989000201225281,"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":0.06210000067949295,"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/T10885","display_name":"Gene expression and cancer classification","score":0.060100000351667404,"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5131000280380249},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.49549999833106995},{"id":"https://openalex.org/keywords/francisella-tularensis","display_name":"Francisella tularensis","score":0.4699000120162964},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.4530999958515167},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.4474000036716461},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.39629998803138733},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.39089998602867126},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.3700000047683716},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.36329999566078186}],"concepts":[{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.6171000003814697},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5131000280380249},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.49549999833106995},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4828000068664551},{"id":"https://openalex.org/C2780467176","wikidata":"https://www.wikidata.org/wiki/Q1003460","display_name":"Francisella tularensis","level":4,"score":0.4699000120162964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4564000070095062},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.4530999958515167},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.4474000036716461},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.42989999055862427},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.39629998803138733},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.39089998602867126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3711000084877014},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.36329999566078186},{"id":"https://openalex.org/C162317418","wikidata":"https://www.wikidata.org/wiki/Q252857","display_name":"Transcriptome","level":4,"score":0.3628000020980835},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2953999936580658},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.28949999809265137},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C2778022156","wikidata":"https://www.wikidata.org/wiki/Q576145","display_name":"Strain (injury)","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.27469998598098755},{"id":"https://openalex.org/C18431079","wikidata":"https://www.wikidata.org/wiki/Q1502169","display_name":"Gene expression profiling","level":4,"score":0.2705000042915344},{"id":"https://openalex.org/C92087593","wikidata":"https://www.wikidata.org/wiki/Q427389","display_name":"Vector (molecular biology)","level":4,"score":0.2662999927997589},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C152662350","wikidata":"https://www.wikidata.org/wiki/Q815297","display_name":"Systems biology","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C189206191","wikidata":"https://www.wikidata.org/wiki/Q222046","display_name":"Genomics","level":4,"score":0.25220000743865967}],"mesh":[{"descriptor_ui":"D000098410","descriptor_name":"Transfer Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098410","descriptor_name":"Transfer Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005604","descriptor_name":"Francisella tularensis","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D005604","descriptor_name":"Francisella tularensis","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D005604","descriptor_name":"Francisella tularensis","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D005604","descriptor_name":"Francisella tularensis","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000382","qualifier_name":"microbiology","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000382","qualifier_name":"microbiology","is_major_topic":false},{"descriptor_ui":"D013154","descriptor_name":"Spleen","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D013154","descriptor_name":"Spleen","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D013154","descriptor_name":"Spleen","qualifier_ui":"Q000382","qualifier_name":"microbiology","is_major_topic":false},{"descriptor_ui":"D013154","descriptor_name":"Spleen","qualifier_ui":"Q000382","qualifier_name":"microbiology","is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-025-06221-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-025-06221-1","pdf_url":null,"source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:41703455","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41703455","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,"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":"BMC bioinformatics","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13014782","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13014782/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13014782/pdf/12859_2025_Article_6221.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,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:af31e0ab4a4a4d47ba0da6b66b517c85","is_oa":true,"landing_page_url":"https://doaj.org/article/af31e0ab4a4a4d47ba0da6b66b517c85","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":"BMC Bioinformatics, Vol 27, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12859-025-06221-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-025-06221-1","pdf_url":null,"source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1540056190","https://openalex.org/W1678356000","https://openalex.org/W1836923458","https://openalex.org/W1972541538","https://openalex.org/W1988790447","https://openalex.org/W2002016471","https://openalex.org/W2004147962","https://openalex.org/W2015534153","https://openalex.org/W2018260277","https://openalex.org/W2028901970","https://openalex.org/W2056969841","https://openalex.org/W2059586807","https://openalex.org/W2084326536","https://openalex.org/W2097749765","https://openalex.org/W2119821739","https://openalex.org/W2119912941","https://openalex.org/W2132425109","https://openalex.org/W2136132422","https://openalex.org/W2148143831","https://openalex.org/W2167757381","https://openalex.org/W2295598076","https://openalex.org/W2538176878","https://openalex.org/W2759054184","https://openalex.org/W2762869965","https://openalex.org/W2783299469","https://openalex.org/W2795773469","https://openalex.org/W2911964244","https://openalex.org/W3112459541","https://openalex.org/W3112494120","https://openalex.org/W3160504820","https://openalex.org/W3197913691","https://openalex.org/W4402071909"],"related_works":[],"abstract_inverted_index":{"BACKGROUND:":[0],"Integrating":[1],"genomic":[2],"datasets":[3,37],"from":[4,86],"homogenous":[5],"or":[6,15,34,38,42,177],"disparate":[7],"sources":[8],"to":[9,52,82,106,122,146,190,210,223,294,309,356],"identify":[10,108],"genes":[11,30,145,199,282],"that":[12,31,140,317],"are":[13,32,324,343],"commonly":[14],"uniquely":[16],"expressed":[17,284],"remains":[18],"a":[19,128,167,183,267,352],"largely":[20],"underexplored":[21],"area.":[22],"Such":[23],"integrative":[24],"analysis":[25,315],"can":[26,56],"reveal":[27,310],"biologically":[28,109],"relevant":[29,110],"common":[33],"exclusive":[35],"across":[36],"within":[39],"specific":[40],"conditions":[41],"cohorts.":[43],"Identifying":[44],"these":[45,218,349],"gene":[46,111,192,233,334],"expression":[47,193,335],"profiles":[48],"and":[49,64,74,89,98,119,125,160,175,220,232,263,288,291,298,320,339],"employing":[50],"them":[51,293],"classify":[53,295],"disease":[54,117,148,303,321,340],"status":[55],"aid":[57],"in":[58,285,330,345],"the":[59,87,123,143,157,163,196,202,236,286,325,331,346,360],"development":[60],"of":[61,114,169,186,198,204,225,280,302],"vaccines,":[62],"diagnostics":[63],"targeted":[65],"therapeutics":[66],"with":[67,172,363],"efficacy":[68],"against":[69],"difficult-to-treat":[70],"medically":[71],"important":[72],"pathogens":[73],"cancer.":[75],"RESULTS:":[76],"This":[77,215],"work":[78,216],"develops":[79],"new":[80],"methodologies":[81],"integrate":[83],"transcriptomic":[84],"patterns":[85],"lungs":[88,158,287,332],"spleen":[90,164,289],"tissues":[91,290,365],"infected":[92],"by":[93,228],"Francisella":[94],"tularensis":[95],"\u2013":[96],"Schu4":[97,176],"Live":[99],"Vaccine":[100],"Strain":[101],"(LVS).":[102],"Our":[103,314],"objective":[104],"is":[105,154,206,307],"(i)":[107],"features":[112],"indicative":[113],"respiratory":[115],"infection,":[116,357],"severity,":[118],"bacterial":[120,296],"dissemination":[121],"spleen,":[124],"(ii)":[126],"develop":[127],"Weighted":[129],"[Formula:":[130,151,240,268],"see":[131,138,152,241,269],"text]-norm":[132],"Non-Parallel":[133],"Support":[134],"Vector":[135],"Machines":[136],"([Formula:":[137],"text]-WNPSVM)":[139],"will":[141],"utilize":[142],"selected":[144],"predict":[147],"status.":[149,304],"The":[150,239],"text]-WNPSVM":[153,242],"trained":[155],"on":[156,162,273],"data":[159],"validated":[161],"data,":[165],"introducing":[166],"form":[168],"transfer":[170],"learning,":[171],"uninfected":[173],"controls":[174],"LVS":[178],"samples":[179],"as":[180,250],"classes.":[181],"Currently,":[182],"direct":[184],"application":[185],"existing":[187],"NPSVM-type":[188,237],"methods":[189],"analyze":[191],"datasets,":[194],"where":[195],"number":[197,203],"significantly":[200],"exceeds":[201],"samples,":[205],"computationally":[207],"impractical":[208],"due":[209],"their":[211],"large":[212],"memory":[213],"requirements.":[214],"addresses":[217],"challenges":[219],"also":[221],"generalizes":[222],"models":[224],"similar":[226],"formulations":[227],"incorporating":[229],"dimensionality":[230],"reduction":[231],"selection":[234],"into":[235],"frameworks.":[238],"method":[243],"outperforms":[244],"traditional":[245],"machine":[246],"learning":[247],"techniques":[248],"such":[249],"ANN,":[251],"XGBoost,":[252],"AdaBoost,":[253],"GradBoost,":[254],"KNN,":[255],"SVM,":[256],"Naive":[257],"Bayes,":[258],"Random":[259],"Forest,":[260],"Logistic":[261],"Regression,":[262],"Decision":[264],"Tree,":[265],"achieving":[266],"text]":[270],"balanced":[271],"accuracy":[272],"imbalanced":[274],"data.":[275],"CONCLUSIONS:":[276],"We":[277],"discovered":[278],"sets":[279],"235":[281],"exclusively":[283],"utilized":[292],"strains":[297],"controls,":[299],"enabling":[300],"prediction":[301],"Gene":[305],"ontology":[306],"performed":[308],"underlying":[311],"metabolic":[312],"pathways.":[313],"shows":[316],"signal":[318],"transduction":[319],"(cancer)":[322,341],"pathways":[323,328,342,350],"most":[326],"significant":[327,353],"activated":[329,344],"while":[333],"(transcription),":[336],"immune":[337],"system,":[338],"spleen.":[347],"Collectively,":[348],"indicate":[351],"host":[354,364],"response":[355],"including":[358],"how":[359],"bacteria":[361],"interact":[362],"during":[366],"dissemination.":[367]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-02-18T00:00:00"}
