{"id":"https://openalex.org/W2950069687","doi":"https://doi.org/10.1186/s12859-019-2832-3","title":"Optimal clustering with missing values","display_name":"Optimal clustering with missing values","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2950069687","doi":"https://doi.org/10.1186/s12859-019-2832-3","mag":"2950069687","pmid":"https://pubmed.ncbi.nlm.nih.gov/31216989"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-019-2832-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-019-2832-3","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-019-2832-3","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/s12859-019-2832-3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046509031","display_name":"Shahin Boluki","orcid":"https://orcid.org/0000-0002-5015-8995"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shahin Boluki","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Texas A&M University, MS3128 TAMU, College Station, 77843, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas A&M University, MS3128 TAMU, College Station, 77843, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066234514","display_name":"Siamak Zamani Dadaneh","orcid":"https://orcid.org/0000-0001-8808-8622"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siamak Zamani Dadaneh","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Texas A&M University, MS3128 TAMU, College Station, 77843, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas A&M University, MS3128 TAMU, College Station, 77843, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073946580","display_name":"Xiaoning Qian","orcid":"https://orcid.org/0000-0002-4347-2476"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoning Qian","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Texas A&M University, MS3128 TAMU, College Station, 77843, TX, USA","TEES-AgriLife Center for Bioinformatics & Genomic Systems Engineering, College Station, 77843, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas A&M University, MS3128 TAMU, College Station, 77843, TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"TEES-AgriLife Center for Bioinformatics & Genomic Systems Engineering, College Station, 77843, TX, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112221423","display_name":"Edward R. Dougherty","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edward R. Dougherty","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Texas A&M University, MS3128 TAMU, College Station, 77843, TX, USA. edward@ece.tamu.edu","TEES-AgriLife Center for Bioinformatics & Genomic Systems Engineering, College Station, 77843, TX, USA. edward@ece.tamu.edu","Department of Electrical and Computer Engineering, Texas A&M University, MS3128 TAMU, College Station, 77843, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas A&M University, MS3128 TAMU, College Station, 77843, TX, USA. edward@ece.tamu.edu","institution_ids":[]},{"raw_affiliation_string":"TEES-AgriLife Center for Bioinformatics & Genomic Systems Engineering, College Station, 77843, TX, USA. edward@ece.tamu.edu","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas A&M University, MS3128 TAMU, College Station, 77843, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046509031"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":1.8873,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.89373262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"20","issue":"S12","first_page":"321","last_page":"321"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.6559000015258789,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.6559000015258789,"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/T10885","display_name":"Gene expression and cancer classification","score":0.1534000039100647,"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.0430000014603138,"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/missing-data","display_name":"Missing data","score":0.8362222909927368},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8346157670021057},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.6939037442207336},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.66322922706604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5724037289619446},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.503178060054779},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4351700246334076},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.429818719625473},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.42260727286338806},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.40614667534828186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34837621450424194},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2962789237499237},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24639323353767395},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22286954522132874}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.8362222909927368},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8346157670021057},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.6939037442207336},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.66322922706604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5724037289619446},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.503178060054779},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4351700246334076},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.429818719625473},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.42260727286338806},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.40614667534828186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34837621450424194},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2962789237499237},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24639323353767395},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22286954522132874}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","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":"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}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-019-2832-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-019-2832-3","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-019-2832-3","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:31216989","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31216989","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:doaj.org/article:5dd37dad77e44bfdaf70a2a9afe34e3d","is_oa":false,"landing_page_url":"https://doaj.org/article/5dd37dad77e44bfdaf70a2a9afe34e3d","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 20, Iss S12, Pp 1-10 (2019)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:6584727","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6584727","pdf_url":null,"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"}],"best_oa_location":{"id":"doi:10.1186/s12859-019-2832-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-019-2832-3","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-019-2832-3","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":[{"display_name":"Reduced inequalities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2494488513","display_name":null,"funder_award_id":"1812641","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3575786435","display_name":null,"funder_award_id":"1534534","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3726397220","display_name":null,"funder_award_id":"IIS-1812641","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3936902016","display_name":null,"funder_award_id":"1553281","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4552275141","display_name":null,"funder_award_id":"CCF-1553281","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320334350","display_name":"High Performance Research Computing, Texas A and M University","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2950069687.pdf","grobid_xml":"https://content.openalex.org/works/W2950069687.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1651215666","https://openalex.org/W1822348759","https://openalex.org/W1970156673","https://openalex.org/W1981276685","https://openalex.org/W1995450389","https://openalex.org/W1998871699","https://openalex.org/W2011832962","https://openalex.org/W2025183726","https://openalex.org/W2044758663","https://openalex.org/W2058915276","https://openalex.org/W2062882942","https://openalex.org/W2064186732","https://openalex.org/W2069062751","https://openalex.org/W2096863518","https://openalex.org/W2115098571","https://openalex.org/W2134717973","https://openalex.org/W2138036661","https://openalex.org/W2146614932","https://openalex.org/W2146646206","https://openalex.org/W2154231035","https://openalex.org/W2154431984","https://openalex.org/W2158111773","https://openalex.org/W2161160262","https://openalex.org/W2179438025","https://openalex.org/W2191264216","https://openalex.org/W2245213139","https://openalex.org/W2288887089","https://openalex.org/W2593147488","https://openalex.org/W2611831635","https://openalex.org/W2774435077","https://openalex.org/W2778292275","https://openalex.org/W2782304201","https://openalex.org/W2789914388","https://openalex.org/W2799330337","https://openalex.org/W2802441085","https://openalex.org/W2808648791","https://openalex.org/W2898780698","https://openalex.org/W2950183483","https://openalex.org/W2963885353","https://openalex.org/W2964335858","https://openalex.org/W3103128256"],"related_works":["https://openalex.org/W4301002638","https://openalex.org/W2606552659","https://openalex.org/W2111119584","https://openalex.org/W3186815950","https://openalex.org/W2111827030","https://openalex.org/W2311450085","https://openalex.org/W3035964814","https://openalex.org/W3124860551","https://openalex.org/W4232587025","https://openalex.org/W2309230723"],"abstract_inverted_index":{"BACKGROUND:":[0],"Missing":[1,24],"values":[2,25,51,78,171,183],"frequently":[3],"arise":[4],"in":[5,52,79],"modern":[6],"biomedical":[7],"studies":[8,152],"due":[9],"to":[10,36,58,93,174],"various":[11,175],"reasons,":[12],"including":[13],"missing":[14,50,62,77,119,170,182],"tests":[15],"or":[16],"complex":[17],"profiling":[18],"technologies":[19],"for":[20,47,142,187],"different":[21],"omics":[22],"measurements.":[23],"can":[26],"complicate":[27],"the":[28,53,61,67,71,80,104,110,118,123,132,139,143,161,165,185,191,195],"application":[29],"of":[30,55,82,113,164,190],"clustering":[31,56,68,89,115,168,176,180,200],"algorithms,":[32],"whose":[33],"goals":[34],"are":[35],"group":[37],"points":[38],"based":[39],"on":[40,70,153],"some":[41],"similarity":[42],"criterion.":[43],"A":[44],"common":[45],"practice":[46],"dealing":[48],"with":[49,91,146,169,181],"context":[54,81],"is":[57],"first":[59],"impute":[60],"values,":[63],"and":[64,128,156],"then":[65,129],"apply":[66],"algorithm":[69],"completed":[72],"data.":[73],"RESULTS:":[74],"We":[75,101],"consider":[76],"optimal":[83,88,114,167],"clustering,":[84],"which":[85],"finds":[86],"an":[87,94],"operator":[90],"reference":[92],"underlying":[95],"random":[96,124],"labeled":[97,125],"point":[98,126],"process":[99,127],"(RLPP).":[100],"show":[102,160],"how":[103],"missing-value":[105,133],"problem":[106],"fits":[107],"neatly":[108],"into":[109,122],"overall":[111],"framework":[112,141],"by":[116],"incorporating":[117],"value":[120],"mechanism":[121],"marginalizing":[130],"out":[131],"process.":[134],"In":[135],"particular,":[136],"we":[137],"demonstrate":[138],"proposed":[140,166],"Gaussian":[144],"model":[145],"arbitrary":[147],"covariance":[148],"structures.":[149],"Comprehensive":[150],"experimental":[151],"both":[154],"synthetic":[155],"real-world":[157],"RNA-seq":[158],"data":[159],"superior":[162],"performance":[163],"when":[172],"compared":[173],"approaches.":[177],"CONCLUSION:":[178],"Optimal":[179],"obviates":[184],"need":[186],"imputation-based":[188],"pre-processing":[189],"data,":[192],"while":[193],"at":[194],"same":[196],"time":[197],"possessing":[198],"smaller":[199],"errors.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}