{"id":"https://openalex.org/W2103916454","doi":"https://doi.org/10.1093/bioinformatics/bti465","title":"Differential and trajectory methods for time course gene expression data","display_name":"Differential and trajectory methods for time course gene expression data","publication_year":2005,"publication_date":"2005-05-10","ids":{"openalex":"https://openalex.org/W2103916454","doi":"https://doi.org/10.1093/bioinformatics/bti465","mag":"2103916454","pmid":"https://pubmed.ncbi.nlm.nih.gov/15886280"},"language":"en","primary_location":{"id":"doi:10.1093/bioinformatics/bti465","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bti465","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/21/13/3009/48970928/bioinformatics_21_13_3009.pdf","source":{"id":"https://openalex.org/S4210188263","display_name":"Computer applications in the biosciences","issn_l":"0266-7061","issn":["0266-7061","1460-2059"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://academic.oup.com/bioinformatics/article-pdf/21/13/3009/48970928/bioinformatics_21_13_3009.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103234460","display_name":"Yulan Liang","orcid":"https://orcid.org/0000-0001-6792-488X"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Y. Liang","raw_affiliation_strings":["Department of Biostatistics, University at Buffalo Buffalo, NY 14226, USA. yliang@buffalo.edu","Department of Biostatistics, University at Buffalo Buffalo, NY 14226, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University at Buffalo Buffalo, NY 14226, USA. yliang@buffalo.edu","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Department of Biostatistics, University at Buffalo Buffalo, NY 14226, USA#TAB#","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075367863","display_name":"Bamidele O. Tayo","orcid":"https://orcid.org/0000-0002-2277-3958"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B. Tayo","raw_affiliation_strings":["Department of Social and Preventive Medicine, University at Buffalo, Buffalo, NY 14226, USA and","Department of Social and Preventive Medicine, University at Buffalo Buffalo, NY 14226, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Social and Preventive Medicine, University at Buffalo, Buffalo, NY 14226, USA and","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Department of Social and Preventive Medicine, University at Buffalo Buffalo, NY 14226, USA#TAB#","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038716780","display_name":"Xuelian Cai","orcid":"https://orcid.org/0000-0003-3352-9392"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"X. Cai","raw_affiliation_strings":["Department of Biostatistics and","Department of Biostatistics, University at Buffalo Buffalo, NY 14226, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics and","institution_ids":[]},{"raw_affiliation_string":"Department of Biostatistics, University at Buffalo Buffalo, NY 14226, USA#TAB#","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018951068","display_name":"Arpad Kelemen","orcid":"https://orcid.org/0000-0001-7181-4413"},"institutions":[{"id":"https://openalex.org/I201536842","display_name":"Niagara University","ror":"https://ror.org/05309tf52","country_code":"US","type":"education","lineage":["https://openalex.org/I201536842"]},{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Kelemen","raw_affiliation_strings":["Department of Biostatistics and","Department of Computer and Information Sciences Niagara University, Lewiston, NY 14109, USA","Department of Biostatistics, University at Buffalo Buffalo, NY 14226, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics and","institution_ids":[]},{"raw_affiliation_string":"Department of Computer and Information Sciences Niagara University, Lewiston, NY 14109, USA","institution_ids":["https://openalex.org/I201536842"]},{"raw_affiliation_string":"Department of Biostatistics, University at Buffalo Buffalo, NY 14226, USA#TAB#","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103234460"],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":0.948,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.72660192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"21","issue":"13","first_page":"3009","last_page":"3016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.958899974822998,"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":0.958899974822998,"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/T12867","display_name":"Advanced Biosensing Techniques and Applications","score":0.016599999740719795,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.004000000189989805,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5584027171134949},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5539940595626831},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5288922190666199},{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.465422123670578},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4509557783603668},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.4456068277359009},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.4138738512992859},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35297656059265137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3229827284812927},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31338346004486084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26517021656036377},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2530154585838318},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.1316111981868744}],"concepts":[{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5584027171134949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5539940595626831},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5288922190666199},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.465422123670578},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4509557783603668},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.4456068277359009},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4138738512992859},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35297656059265137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3229827284812927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31338346004486084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26517021656036377},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2530154585838318},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.1316111981868744}],"mesh":[{"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":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005786","descriptor_name":"Gene Expression Regulation","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005786","descriptor_name":"Gene Expression Regulation","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005786","descriptor_name":"Gene Expression Regulation","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005786","descriptor_name":"Gene Expression Regulation","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015398","descriptor_name":"Signal Transduction","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D015398","descriptor_name":"Signal Transduction","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D015398","descriptor_name":"Signal Transduction","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D015398","descriptor_name":"Signal Transduction","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1093/bioinformatics/bti465","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bti465","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/21/13/3009/48970928/bioinformatics_21_13_3009.pdf","source":{"id":"https://openalex.org/S4210188263","display_name":"Computer applications in the biosciences","issn_l":"0266-7061","issn":["0266-7061","1460-2059"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},{"id":"pmid:15886280","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/15886280","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":"Bioinformatics (Oxford, England)","raw_type":"Evaluation Study"},{"id":"pmh:oai:pubmedcentral.nih.gov:2574001","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2574001","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/bioinformatics/bti465","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bti465","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/21/13/3009/48970928/bioinformatics_21_13_3009.pdf","source":{"id":"https://openalex.org/S4210188263","display_name":"Computer applications in the biosciences","issn_l":"0266-7061","issn":["0266-7061","1460-2059"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.800000011920929}],"awards":[{"id":"https://openalex.org/G2368303284","display_name":null,"funder_award_id":"5P20GM67650-02","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G4335824272","display_name":null,"funder_award_id":"P20 GM067650","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"}],"funders":[{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2103916454.pdf","grobid_xml":"https://content.openalex.org/works/W2103916454.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1774711529","https://openalex.org/W1843806100","https://openalex.org/W1965138864","https://openalex.org/W1977877423","https://openalex.org/W1981351035","https://openalex.org/W1990939301","https://openalex.org/W2002810210","https://openalex.org/W2029485495","https://openalex.org/W2057765075","https://openalex.org/W2060979547","https://openalex.org/W2087998083","https://openalex.org/W2093017030","https://openalex.org/W2096763239","https://openalex.org/W2099114361","https://openalex.org/W2116811581","https://openalex.org/W2123172482","https://openalex.org/W2125015667","https://openalex.org/W2125310307","https://openalex.org/W2139367012","https://openalex.org/W2144227498","https://openalex.org/W2145635005","https://openalex.org/W2148541040","https://openalex.org/W2149250260","https://openalex.org/W2150466754","https://openalex.org/W2157795344","https://openalex.org/W2309277749","https://openalex.org/W2536044253"],"related_works":["https://openalex.org/W2096947471","https://openalex.org/W2011903341","https://openalex.org/W2013882407","https://openalex.org/W1981436518","https://openalex.org/W1485223389","https://openalex.org/W2164993559","https://openalex.org/W2794649148","https://openalex.org/W2040597492","https://openalex.org/W3021133747","https://openalex.org/W1489532500"],"abstract_inverted_index":{"MOTIVATION:":[0],"The":[1,62,103,130,204,237],"issue":[2],"of":[3,31,53,59,64,72,90,105,170,196,270,319,329],"high":[4],"dimensionality":[5],"in":[6,16,50,161,191,231,247,250,272,275],"microarray":[7,93,278],"data":[8,94],"has":[9],"been,":[10],"and":[11,18,24,38,40,76,79,82,113,121,125,140,168,212,241,268],"remains,":[12],"a":[13,193],"hot":[14],"topic":[15],"statistical":[17],"computational":[19],"analysis.":[20],"Efficient":[21],"gene":[22,84,175,273],"filtering":[23,85,124],"differentiation":[25],"approaches":[26,158,215],"can":[27],"reduce":[28],"the":[29,42,51,57,70,88,135,139,152,165,181,197,202,209,281,299,303,317],"dimensions":[30],"data,":[32],"help":[33],"to":[34,68,150,163,201,217,255,286,296,326,334],"remove":[35],"redundant":[36,300],"genes":[37,45,200,330],"noises,":[39],"highlight":[41],"most":[43],"relevant":[44,199],"that":[46,180],"are":[47,119,226],"major":[48],"players":[49],"development":[52],"certain":[54],"diseases":[55],"or":[56],"effect":[58],"drug":[60,171],"treatment.":[61],"purpose":[63],"this":[65],"study":[66],"is":[67],"investigate":[69,164],"efficiency":[71],"parametric":[73,205],"(including":[74],"Bayesian":[75,131,136,214,283,292],"non-Bayesian,":[77],"linear":[78,132,291,304],"non-linear),":[80],"non-parametric":[81,242],"semi-parametric":[83,238],"methods":[86,118,183,225,244],"through":[87],"application":[89],"time":[91,235,253,256,276],"course":[92,277],"from":[95,252],"multiple":[96],"sclerosis":[97],"patients":[98],"being":[99],"treated":[100],"with":[101,107,116,145],"interferon-beta-1a.":[102],"analysis":[104],"variance":[106],"bootstrapping":[108],"(parametric),":[109],"class":[110],"dispersion":[111],"(semi-parametric)":[112],"Pareto":[114],"(non-parametric)":[115],"permutation":[117],"presented":[120,182],"compared":[122],"for":[123,263],"finding":[126],"differentially":[127],"expressed":[128],"genes.":[129],"correlated":[133,293],"model,":[134],"non-linear":[137,282,310],"model":[138,144,211,284,305,311],"non-Bayesian":[141],"mixed":[142,210],"effects":[143,173],"bootstrap":[146],"were":[147,159,189,245],"also":[148,315],"developed":[149,160],"characterize":[151],"differential":[153],"expression":[154,232,251],"patterns.":[155],"Furthermore,":[156],"trajectory-clustering":[157],"order":[162],"dynamic":[166],"patterns":[167],"inter-dependency":[169],"treatment":[172],"on":[174,228],"expression.":[176],"RESULTS:":[177],"Results":[178],"show":[179],"performed":[184],"significant":[185,265,320],"differently":[186],"but":[187],"all":[188,234],"adequate":[190],"capturing":[192,248],"small":[194],"number":[195],"potentially":[198],"disease.":[203],"method,":[206],"such":[207],"as":[208],"two":[213],"proved":[216,285],"be":[218,287,335],"more":[219,261],"conservative.":[220],"This":[221],"may":[222],"because":[223],"these":[224],"based":[227],"overall":[229],"variation":[230,249],"across":[233],"points.":[236],"(class":[239],"dispersion)":[240],"(Pareto)":[243],"appropriate":[246],"point":[254],"point,":[257],"thereby":[258],"making":[259],"them":[260],"suitable":[262],"investigating":[264],"monotonic":[266],"changes":[267,271],"trajectories":[269,318,328],"expressions":[274],"data.":[279],"Also,":[280],"less":[288],"conservative":[289],"than":[290,309],"growth":[294],"models":[295],"filter":[297],"out":[298],"genes,":[301],"although":[302],"showed":[306],"better":[307],"fit":[308],"(smaller":[312],"DIC).":[313],"We":[314],"report":[316],"genes-since":[321],"we":[322],"have":[323],"been":[324],"able":[325],"isolate":[327],"whose":[331],"regulations":[332],"appear":[333],"inter-dependent.":[336]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}