{"id":"https://openalex.org/W3001650447","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965830","title":"Research and Implementation of Gene Chip Data Analysis and Visualization Based on Machine Learning","display_name":"Research and Implementation of Gene Chip Data Analysis and Visualization Based on Machine Learning","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3001650447","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965830","mag":"3001650447"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei48845.2019.8965830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-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/A5108050329","display_name":"Jiajun Li","orcid":"https://orcid.org/0000-0002-3986-9315"},"institutions":[{"id":"https://openalex.org/I1334884943","display_name":"Yanbian University of Science and Technology","ror":"https://ror.org/032se3k78","country_code":"CN","type":"education","lineage":["https://openalex.org/I1334884943"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiajun Li","raw_affiliation_strings":["Dept. of Computer Science & Technology, Yanbian University, Yanji, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Technology, Yanbian University, Yanji, China","institution_ids":["https://openalex.org/I1334884943"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Libo Huai","orcid":null},"institutions":[{"id":"https://openalex.org/I1334884943","display_name":"Yanbian University of Science and Technology","ror":"https://ror.org/032se3k78","country_code":"CN","type":"education","lineage":["https://openalex.org/I1334884943"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Libo Huai","raw_affiliation_strings":["Dept. of Computer Science & Technology, Yanbian University, Yanji, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Technology, Yanbian University, Yanji, China","institution_ids":["https://openalex.org/I1334884943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055109954","display_name":"Zhenhua Lin","orcid":"https://orcid.org/0000-0003-1690-9713"},"institutions":[{"id":"https://openalex.org/I1793135","display_name":"Yanbian University","ror":"https://ror.org/039xnh269","country_code":"CN","type":"education","lineage":["https://openalex.org/I1793135"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Lin","raw_affiliation_strings":["Department of Pathology, Medical College Yanbian University, Yanji, China"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, Medical College Yanbian University, Yanji, China","institution_ids":["https://openalex.org/I1793135"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112053339","display_name":"Minghua Cui","orcid":"https://orcid.org/0009-0002-8148-1215"},"institutions":[{"id":"https://openalex.org/I1793135","display_name":"Yanbian University","ror":"https://ror.org/039xnh269","country_code":"CN","type":"education","lineage":["https://openalex.org/I1793135"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghua Cui","raw_affiliation_strings":["Department of Pathology, Medical College Yanbian University, Yanji, China"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, Medical College Yanbian University, Yanji, China","institution_ids":["https://openalex.org/I1793135"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108050329"],"corresponding_institution_ids":["https://openalex.org/I1334884943"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13593392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9961000084877014,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9961000084877014,"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/T13937","display_name":"Genetics, Bioinformatics, and Biomedical Research","score":0.9776999950408936,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9495999813079834,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6884227991104126},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6356762051582336},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6285810470581055},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5769757032394409},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5675155520439148},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5435845255851746},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.48100194334983826},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4793594479560852},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45591673254966736},{"id":"https://openalex.org/keywords/gene-chip-analysis","display_name":"Gene chip analysis","score":0.4409431517124176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43594539165496826},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.3306090235710144},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.28468823432922363},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.2452341616153717},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13369828462600708},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.09221813082695007}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6884227991104126},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6356762051582336},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6285810470581055},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5769757032394409},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5675155520439148},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5435845255851746},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.48100194334983826},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4793594479560852},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45591673254966736},{"id":"https://openalex.org/C24361400","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Gene chip analysis","level":5,"score":0.4409431517124176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43594539165496826},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.3306090235710144},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.28468823432922363},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.2452341616153717},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13369828462600708},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.09221813082695007},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei48845.2019.8965830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1772250503","https://openalex.org/W1949006234","https://openalex.org/W1966626540","https://openalex.org/W2038437697","https://openalex.org/W2096192437","https://openalex.org/W2097169398","https://openalex.org/W2107665951","https://openalex.org/W2129936293","https://openalex.org/W2134837462","https://openalex.org/W2141335157","https://openalex.org/W2159270100","https://openalex.org/W2169353806","https://openalex.org/W2329586366","https://openalex.org/W2348987257","https://openalex.org/W2516938563","https://openalex.org/W2574388714","https://openalex.org/W2784149398","https://openalex.org/W2891495580","https://openalex.org/W2912329425","https://openalex.org/W4249966633","https://openalex.org/W6640555090"],"related_works":["https://openalex.org/W2096302356","https://openalex.org/W1536722219","https://openalex.org/W1971329594","https://openalex.org/W2582603276","https://openalex.org/W4312138714","https://openalex.org/W2160130936","https://openalex.org/W2061675700","https://openalex.org/W2159234162","https://openalex.org/W2069955857","https://openalex.org/W2135361361"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,62,77,81,100,186],"extract":[3],"the":[4,10,37,53,64,68,74,107,117,125,134,146,158,171,177,189],"law":[5],"and":[6,32,48,57,67,105,133,145,149,181,197,210],"mining":[7],"knowledge":[8],"from":[9,116],"data":[11,25,50,79,160],"accumulated":[12],"in":[13,130,164,176,192],"a":[14,23,83,88],"large":[15],"number":[16,172],"of":[17,138,141,173],"biological":[18],"experiments,":[19],"this":[20,165],"paper":[21,166],"proposes":[22],"genetic":[24,159],"visualization":[26,161],"method":[27,162],"based":[28],"on":[29],"R":[30,131],"language":[31],"machine":[33],"learning":[34],"algorithm.":[35],"Firstly,":[36],"original":[38],"chip":[39,45,179],"expression":[40,65,85,98,136],"data,":[41,180],"gene":[42,84,97,103,135,178],"annotation":[43],"information,":[44],"grouping":[46],"information":[47],"clinical":[49,215],"are":[51,60],"collected;":[52],"background":[54],"correction,":[55],"normalization":[56],"log2":[58],"conversion":[59],"used":[61],"calculate":[63],"value;":[66],"KNN":[69],"algorithm":[70,91],"is":[71,92,183],"filled":[72],"with":[73],"missing":[75],"value":[76],"perform":[78],"preprocessing":[80],"obtain":[82,101],"matrix.":[86],"Secondly,":[87],"hierarchical":[89],"clustering":[90],"proposed,":[93],"which":[94],"gradually":[95],"clusters":[96],"matrices":[99],"differential":[102,174,190],"results,":[104],"solves":[106],"problem":[108],"that":[109,157],"biomedical":[110],"experimental":[111],"results":[112,155],"cannot":[113],"be":[114],"expressed":[115],"data.":[118,217],"Finally,":[119],"taking":[120],"psoriasis":[121,142],"as":[122,204],"an":[123],"example,":[124],"experiment":[126],"was":[127],"carried":[128],"out":[129,188],"language,":[132],"differences":[137],"different":[139,193],"groups":[140],"were":[143,152],"obtained,":[144],"heat":[147],"map":[148,151],"volcano":[150],"visualized.":[153],"The":[154],"show":[156],"proposed":[163],"can":[167],"more":[168,184],"clearly":[169],"express":[170],"genes":[175,191],"it":[182],"convenient":[185],"screen":[187],"groups.":[194],"Provide":[195],"clues":[196],"directions":[198],"for":[199,214],"subsequent":[200],"bioinformatics":[201],"analysis":[202,213],"such":[203],"correlation":[205],"analysis,":[206,209],"protein":[207],"interaction":[208],"signal":[211],"pathway":[212],"pathological":[216]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}