{"id":"https://openalex.org/W4388494702","doi":"https://doi.org/10.1186/s12859-023-05557-w","title":"Hybrid deep learning approach to improve classification of low-volume high-dimensional data","display_name":"Hybrid deep learning approach to improve classification of low-volume high-dimensional data","publication_year":2023,"publication_date":"2023-11-07","ids":{"openalex":"https://openalex.org/W4388494702","doi":"https://doi.org/10.1186/s12859-023-05557-w","pmid":"https://pubmed.ncbi.nlm.nih.gov/37936066"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-023-05557-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-023-05557-w","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05557-w","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","license_id":"https://openalex.org/licenses/cc-by","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://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05557-w","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084358147","display_name":"Pegah Mavaie","orcid":null},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pegah Mavaie","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, 99164, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, 99164, USA","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044712355","display_name":"Lawrence B. Holder","orcid":"https://orcid.org/0000-0002-6586-3144"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawrence Holder","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, 99164, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, 99164, USA","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027659809","display_name":"Michael K. Skinner","orcid":"https://orcid.org/0000-0001-8224-2078"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael K. Skinner","raw_affiliation_strings":["School of Biological Sciences, Center for Reproductive Biology, Washington State University, Pullman, WA, 99164-4236, USA. skinner@wsu.edu","School of Biological Sciences, Center for Reproductive Biology, Washington State University, Pullman, WA, 99164-4236, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biological Sciences, Center for Reproductive Biology, Washington State University, Pullman, WA, 99164-4236, USA. skinner@wsu.edu","institution_ids":["https://openalex.org/I72951846"]},{"raw_affiliation_string":"School of Biological Sciences, Center for Reproductive Biology, Washington State University, Pullman, WA, 99164-4236, USA","institution_ids":["https://openalex.org/I72951846"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027659809"],"corresponding_institution_ids":["https://openalex.org/I72951846"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":15.9122,"has_fulltext":true,"cited_by_count":47,"citation_normalized_percentile":{"value":0.99065043,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"24","issue":"1","first_page":"419","last_page":"419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.43160000443458557,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.43160000443458557,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.17560000717639923,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.03750000149011612,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.6343433856964111},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5730069875717163},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5729276537895203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48896777629852295},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39285922050476074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38284963369369507},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33204999566078186}],"concepts":[{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.6343433856964111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5730069875717163},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5729276537895203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48896777629852295},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39285922050476074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38284963369369507},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33204999566078186},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-023-05557-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-023-05557-w","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05557-w","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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:37936066","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37936066","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":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10631218","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10631218","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10631218/pdf/12859_2023_Article_5557.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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:6faa74ba754048ca8e22324262f58548","is_oa":true,"landing_page_url":"https://doaj.org/article/6faa74ba754048ca8e22324262f58548","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 24, Iss 1, Pp 1-20 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12859-023-05557-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-023-05557-w","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05557-w","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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G5464063082","display_name":null,"funder_award_id":"50183","funder_id":"https://openalex.org/F4320306193","funder_display_name":"John Templeton Foundation"},{"id":"https://openalex.org/G7503282099","display_name":null,"funder_award_id":"61174","funder_id":"https://openalex.org/F4320306193","funder_display_name":"John Templeton Foundation"}],"funders":[{"id":"https://openalex.org/F4320306193","display_name":"John Templeton Foundation","ror":"https://ror.org/035tnyy05"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388494702.pdf"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1584236903","https://openalex.org/W1930624869","https://openalex.org/W1976996072","https://openalex.org/W1981276685","https://openalex.org/W2002521620","https://openalex.org/W2031998113","https://openalex.org/W2061873838","https://openalex.org/W2067624665","https://openalex.org/W2136487516","https://openalex.org/W2136922672","https://openalex.org/W2163605009","https://openalex.org/W2163922914","https://openalex.org/W2168117308","https://openalex.org/W2220384803","https://openalex.org/W2294798173","https://openalex.org/W2295598076","https://openalex.org/W2306570595","https://openalex.org/W2483327705","https://openalex.org/W2616083932","https://openalex.org/W2622102053","https://openalex.org/W2739312105","https://openalex.org/W2766908198","https://openalex.org/W2899370105","https://openalex.org/W3046626379","https://openalex.org/W3087194897","https://openalex.org/W3169203486","https://openalex.org/W3188071779","https://openalex.org/W3215342746","https://openalex.org/W4294844329","https://openalex.org/W4309744061","https://openalex.org/W6676984168","https://openalex.org/W6775753421"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2798121181","https://openalex.org/W2611989081","https://openalex.org/W2016805743","https://openalex.org/W4242592912","https://openalex.org/W435830328","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W2087896742","https://openalex.org/W4380075502"],"abstract_inverted_index":{"BACKGROUND:":[0],"The":[1,122,174,190],"performance":[2,205],"of":[3,13,69,132,177,183,196],"machine":[4],"learning":[5,39,77,111,135,167,200,210],"classification":[6,53],"methods":[7,30],"relies":[8],"heavily":[9],"on":[10,87,145,170,206],"the":[11,88,94,104,118,129,133,143,181,184,194],"choice":[12],"features.":[14],"In":[15],"many":[16],"domains,":[17],"feature":[18,28,44],"generation":[19,45],"can":[20],"be":[21],"labor-intensive":[22],"and":[23,27,66,97,142,165,198],"require":[24],"domain":[25],"knowledge,":[26],"selection":[29],"do":[31],"not":[32],"scale":[33],"well":[34],"in":[35,43,215],"high-dimensional":[36,172],"datasets.":[37,173],"Deep":[38],"has":[40],"shown":[41],"success":[42],"but":[46],"requires":[47],"large":[48],"datasets":[49,178],"to":[50,102,108,116,127,139,202],"achieve":[51,203],"high":[52,204],"accuracy.":[54],"Biology":[55],"domains":[56,156],"typically":[57],"exhibit":[58],"these":[59,100],"challenges":[60],"with":[61],"numerous":[62],"handcrafted":[63],"features":[64,92,101,141],"(high-dimensional)":[65],"small":[67],"amounts":[68],"training":[70,89,146],"data":[71,105,147],"(low":[72],"volume).":[73],"METHOD:":[74],"A":[75],"hybrid":[76,160,191],"approach":[78,123,161,185,192],"is":[79,114,124],"proposed":[80],"that":[81,149,158,212],"first":[82],"trains":[83],"a":[84,109],"deep":[85,95,134,164,197],"network":[86,136],"data,":[90],"extracts":[91],"from":[93,137,154],"network,":[96],"then":[98],"uses":[99],"re-express":[103],"for":[106],"input":[107],"non-deep":[110,166,199],"method,":[112],"which":[113,138],"trained":[115],"perform":[117],"final":[119],"classification.":[120],"RESULTS:":[121],"systematically":[125],"evaluated":[126],"determine":[128],"best":[130],"layer":[131],"extract":[140],"threshold":[144],"volume":[148,209],"prefers":[150],"this":[151,159],"approach.":[152],"Results":[153],"several":[155],"show":[157],"outperforms":[162],"standalone":[163],"methods,":[168],"especially":[169],"low-volume,":[171],"diverse":[175],"collection":[176],"further":[179],"supports":[180],"robustness":[182],"across":[186],"different":[187],"domains.":[188,217],"CONCLUSIONS:":[189],"combines":[193],"strengths":[195],"paradigms":[201],"high-dimensional,":[207],"low":[208],"tasks":[211],"are":[213],"typical":[214],"biology":[216]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":14}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}