{"id":"https://openalex.org/W2062432166","doi":"https://doi.org/10.1142/s0219720012500072","title":"A NEW METHOD FOR NONHOMOGENEOUS TIME COURSE EXPRESSION ANALYSIS","display_name":"A NEW METHOD FOR NONHOMOGENEOUS TIME COURSE EXPRESSION ANALYSIS","publication_year":2012,"publication_date":"2012-02-06","ids":{"openalex":"https://openalex.org/W2062432166","doi":"https://doi.org/10.1142/s0219720012500072","mag":"2062432166","pmid":"https://pubmed.ncbi.nlm.nih.gov/22809420"},"language":"en","primary_location":{"id":"doi:10.1142/s0219720012500072","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219720012500072","pdf_url":null,"source":{"id":"https://openalex.org/S155349577","display_name":"Journal of Bioinformatics and Computational Biology","issn_l":"0219-7200","issn":["0219-7200","1757-6334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bioinformatics and Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5028571716","display_name":"Jin Xu","orcid":"https://orcid.org/0000-0003-2434-7183"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"JIN XU","raw_affiliation_strings":["Department of Statistics and Actuarial Science, and Biostatistics Center, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Actuarial Science, and Biostatistics Center, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5028571716"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.1313,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51490011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"10","issue":"04","first_page":"1250007","last_page":"1250007"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9868999719619751,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.6127297282218933},{"id":"https://openalex.org/keywords/time-point","display_name":"Time point","score":0.5880972146987915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.58273845911026},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.498943567276001},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.49592456221580505},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.46543020009994507},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46060115098953247},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4508579969406128},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3744010627269745},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3701269030570984},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3321627378463745}],"concepts":[{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.6127297282218933},{"id":"https://openalex.org/C2779466056","wikidata":"https://www.wikidata.org/wiki/Q107630651","display_name":"Time point","level":2,"score":0.5880972146987915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.58273845911026},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.498943567276001},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.49592456221580505},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.46543020009994507},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46060115098953247},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4508579969406128},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3744010627269745},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3701269030570984},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3321627378463745},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015870","descriptor_name":"Gene Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015870","descriptor_name":"Gene Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015870","descriptor_name":"Gene Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"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":2,"locations":[{"id":"doi:10.1142/s0219720012500072","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219720012500072","pdf_url":null,"source":{"id":"https://openalex.org/S155349577","display_name":"Journal of Bioinformatics and Computational Biology","issn_l":"0219-7200","issn":["0219-7200","1757-6334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bioinformatics and Computational Biology","raw_type":"journal-article"},{"id":"pmid:22809420","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22809420","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":"Journal of bioinformatics and computational biology","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2018044188","https://openalex.org/W2033902994","https://openalex.org/W2037893131","https://openalex.org/W2064533818","https://openalex.org/W2065286712","https://openalex.org/W2067121527","https://openalex.org/W2097265502","https://openalex.org/W2097997980","https://openalex.org/W2106863749","https://openalex.org/W2110065044","https://openalex.org/W2114333898","https://openalex.org/W2120169559","https://openalex.org/W2130494035","https://openalex.org/W2137082708","https://openalex.org/W2149566602","https://openalex.org/W2159482845","https://openalex.org/W2161175828","https://openalex.org/W2170989872","https://openalex.org/W2323686090","https://openalex.org/W3102022799","https://openalex.org/W3104024536","https://openalex.org/W3104984013","https://openalex.org/W4247420482","https://openalex.org/W4249753629","https://openalex.org/W4289257726","https://openalex.org/W4294216483"],"related_works":["https://openalex.org/W4243114048","https://openalex.org/W2529605301","https://openalex.org/W4237896776","https://openalex.org/W4231665652","https://openalex.org/W1837630526","https://openalex.org/W2000242494","https://openalex.org/W2335589441","https://openalex.org/W4296826658","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"Time":[0],"course":[1,95,107,121,131],"expression":[2],"analysis":[3],"constitutes":[4],"a":[5,28,49,84,113,156,161],"large":[6],"portion":[7],"of":[8,10,16,30,45,76,109,128,137,148,181,228],"applications":[9,77],"microarray":[11],"experiments.":[12],"One":[13],"primary":[14],"goal":[15],"such":[17],"experiments":[18,96],"is":[19,139,177],"to":[20,116,124,144,159],"detect":[21],"genes":[22,91],"with":[23,42,207,234],"the":[24,69,74,105,118,126,129,135,146,166,170,194,197,201,205,224,229],"temporal":[25,151],"changes":[26],"over":[27,47,213],"period":[29],"time":[31,36,52,94,106,120,130,217],"or":[32,72,196,215],"at":[33],"some":[34,235],"interested":[35],"points.":[37],"Difficulties":[38],"arising":[39],"from":[40,169],"data":[41,122,168,244],"small":[43],"number":[44],"replicates":[46],"only":[48,79],"few":[50,209],"unaligned":[51],"points":[53,218],"in":[54,97,179,232],"multiple":[55,98,220],"groups":[56],"pose":[57],"challenges":[58],"for":[59,78,87,150,193,204],"efficient":[60],"statistical":[61],"analysis.":[62],"Some":[63],"known":[64],"methods":[65,237],"are":[66],"limited":[67],"by":[68,73,112],"unverifiable":[70],"assumptions":[71],"scope":[75],"two":[80,242],"groups.":[81,99,221],"We":[82,222],"present":[83],"new":[85,101,230],"method":[86,102,158,176,202,231],"detecting":[88],"differentially":[89],"expressed":[90],"under":[92,219],"nonhomogeneous":[93,119],"The":[100,174],"first":[103],"models":[104,240],"curve":[108,132],"one":[110],"gene":[111],"Gaussian":[114,171],"process":[115,172],"align":[117],"and":[123,184,200,226,241],"compute":[125],"gradient":[127],"as":[133,141,208,210],"well,":[134],"latter":[136],"which":[138],"used":[140],"directional":[142],"information":[143],"enhance":[145],"sensitivity":[147],"detection":[149],"changes.":[152],"Second,":[153],"we":[154],"adopt":[155],"nonparametric":[157],"test":[160,198],"surrogate":[162],"hypothesis":[163],"based":[164],"on":[165],"augmented":[167],"model.":[173],"proposed":[175],"robust":[178],"terms":[180],"model":[182],"fitting":[183],"testing.":[185],"It":[186],"does":[187],"not":[188],"require":[189],"any":[190],"distributional":[191],"assumption":[192],"observations":[195],"statistic":[199],"works":[203],"case":[206],"triplicate":[211],"samples":[212],"four":[214],"five":[216],"show":[223],"effectiveness":[225],"superiority":[227],"comparison":[233],"existing":[236],"using":[238],"simulated":[239],"real":[243],"sets.":[245]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}