{"id":"https://openalex.org/W3005965701","doi":null,"title":"A Statistical Framework for Incorporating Multi-Omics Technologies for Precision Medicine","display_name":"A Statistical Framework for Incorporating Multi-Omics Technologies for Precision Medicine","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W3005965701","mag":"3005965701"},"language":"en","primary_location":{"id":"pmh:oai:ses.library.usyd.edu.au:2123/21814","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2123/21814","pdf_url":"https://hdl.handle.net/2123/21814","source":{"id":"https://openalex.org/S4306402414","display_name":"The Sydney eScholarship Repository (The University of Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I129604602","host_organization_name":"The University of Sydney","host_organization_lineage":["https://openalex.org/I129604602"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/2123/21814","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066085006","display_name":"Yu Xiang Wang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yu Xiang Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5066085006"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.4713999927043915,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.4713999927043915,"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/T10885","display_name":"Gene expression and cancer classification","score":0.19059999287128448,"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/T10136","display_name":"Statistical Methods and Inference","score":0.1729000061750412,"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/precision-medicine","display_name":"precision medicine","score":0.9950000047683716},{"id":"https://openalex.org/keywords/multi-omics-data","display_name":"multi-omics data","score":0.8309999704360962},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.9570000171661377},{"id":"https://openalex.org/keywords/generalized-linear-models","display_name":"generalized linear models","score":0.8930000066757202},{"id":"https://openalex.org/keywords/melanoma","display_name":"melanoma","score":0.9589999914169312},{"id":"https://openalex.org/keywords/statistical-reproducibility","display_name":"statistical reproducibility","score":0.6660000085830688}],"concepts":[{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5518046617507935},{"id":"https://openalex.org/C157585117","wikidata":"https://www.wikidata.org/wiki/Q158666","display_name":"Omics","level":2,"score":0.5220708250999451},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.5154176950454712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44111573696136475},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.38836270570755005},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3387569785118103},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2594641447067261},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.2522602677345276},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.19705694913864136},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.08341553807258606}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:ses.library.usyd.edu.au:2123/21814","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2123/21814","pdf_url":"https://hdl.handle.net/2123/21814","source":{"id":"https://openalex.org/S4306402414","display_name":"The Sydney eScholarship Repository (The University of Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I129604602","host_organization_name":"The University of Sydney","host_organization_lineage":["https://openalex.org/I129604602"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"mag:3005965701","doi":null,"is_oa":false,"landing_page_url":"https://ses.library.usyd.edu.au/handle/2123/21814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:ses.library.usyd.edu.au:2123/21814","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2123/21814","pdf_url":"https://hdl.handle.net/2123/21814","source":{"id":"https://openalex.org/S4306402414","display_name":"The Sydney eScholarship Repository (The University of Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I129604602","host_organization_name":"The University of Sydney","host_organization_lineage":["https://openalex.org/I129604602"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6240000128746033}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3005965701.pdf","grobid_xml":"https://content.openalex.org/works/W3005965701.grobid-xml"},"referenced_works_count":100,"referenced_works":["https://openalex.org/W1513618424","https://openalex.org/W1528905581","https://openalex.org/W1547091953","https://openalex.org/W1854900052","https://openalex.org/W1874000461","https://openalex.org/W1899259633","https://openalex.org/W1915087491","https://openalex.org/W1936663733","https://openalex.org/W1971061361","https://openalex.org/W1973948212","https://openalex.org/W1974478886","https://openalex.org/W1985497040","https://openalex.org/W1988081257","https://openalex.org/W1990922437","https://openalex.org/W1997921822","https://openalex.org/W2005794864","https://openalex.org/W2010457001","https://openalex.org/W2011713211","https://openalex.org/W2013805643","https://openalex.org/W2015994834","https://openalex.org/W2029607409","https://openalex.org/W2037030821","https://openalex.org/W2038963685","https://openalex.org/W2056499061","https://openalex.org/W2069230139","https://openalex.org/W2078129874","https://openalex.org/W2078284062","https://openalex.org/W2080837438","https://openalex.org/W2081098333","https://openalex.org/W2084001490","https://openalex.org/W2087448554","https://openalex.org/W2091947792","https://openalex.org/W2095900642","https://openalex.org/W2096561521","https://openalex.org/W2099170797","https://openalex.org/W2100000728","https://openalex.org/W2102921564","https://openalex.org/W2103017472","https://openalex.org/W2105882193","https://openalex.org/W2118373398","https://openalex.org/W2120532570","https://openalex.org/W2122825543","https://openalex.org/W2125698369","https://openalex.org/W2128985829","https://openalex.org/W2131060185","https://openalex.org/W2134787419","https://openalex.org/W2135046866","https://openalex.org/W2135202855","https://openalex.org/W2137526110","https://openalex.org/W2138418173","https://openalex.org/W2142635246","https://openalex.org/W2146512944","https://openalex.org/W2146855196","https://openalex.org/W2148092884","https://openalex.org/W2150940164","https://openalex.org/W2152060958","https://openalex.org/W2154976095","https://openalex.org/W2156273110","https://openalex.org/W2158485828","https://openalex.org/W2158965525","https://openalex.org/W2160222246","https://openalex.org/W2160450758","https://openalex.org/W2165884492","https://openalex.org/W2165909549","https://openalex.org/W2179483816","https://openalex.org/W2263071834","https://openalex.org/W2331269392","https://openalex.org/W2333082097","https://openalex.org/W2365943779","https://openalex.org/W2478738321","https://openalex.org/W2513408092","https://openalex.org/W2515780694","https://openalex.org/W2518969260","https://openalex.org/W2521062450","https://openalex.org/W2585410541","https://openalex.org/W2731985440","https://openalex.org/W2750804603","https://openalex.org/W2751275235","https://openalex.org/W2751538554","https://openalex.org/W2752303484","https://openalex.org/W2771347870","https://openalex.org/W2782176193","https://openalex.org/W2782180650","https://openalex.org/W2789762962","https://openalex.org/W2808656872","https://openalex.org/W2901803420","https://openalex.org/W2902536775","https://openalex.org/W2910254477","https://openalex.org/W2912656088","https://openalex.org/W2919504754","https://openalex.org/W2946046628","https://openalex.org/W2962850547","https://openalex.org/W2962872139","https://openalex.org/W2963787255","https://openalex.org/W2995708142","https://openalex.org/W3021601205","https://openalex.org/W3102654945","https://openalex.org/W3124442571","https://openalex.org/W4294541781","https://openalex.org/W4321851539"],"related_works":["https://openalex.org/W4283796206","https://openalex.org/W7126892102","https://openalex.org/W7203571225","https://openalex.org/W3084011351","https://openalex.org/W3112797422","https://openalex.org/W7151456387","https://openalex.org/W7167962219","https://openalex.org/W3210966188","https://openalex.org/W2788286722","https://openalex.org/W4391072154"],"abstract_inverted_index":{"This":[0,263],"thesis":[1,98,264],"addresses":[2],"important":[3],"statistical":[4,75,276],"challenges":[5,76],"in":[6,81,87,127,158],"precision":[7,36,53,85,267],"medicine,":[8],"the":[9,30,39,74,91,102,130,197,221,241,244,259],"clinical":[10],"practice":[11],"to":[12,89,176,183,235,257,266],"customise":[13],"treatment":[14],"plans":[15],"for":[16,66,106,150],"individual":[17],"patients":[18],"using":[19],"genetic":[20],"information.":[21],"We":[22,69,119,169,246],"propose":[23,140,196],"methods,":[24],"frameworks":[25],"and":[26,33,180,238,251,274],"procedures":[27],"that":[28,77,203,229],"tackle":[29],"discovery,":[31],"translation":[32],"implementation":[34],"of":[35,41,52,73,84,96,174,190,243,261],"medicine":[37,54,86,268],"through":[38],"use":[40],"omics":[42,214],"data.":[43],"In":[44,136,192],"Chapter":[45,94,137,193],"1,":[46],"we":[47,139,195],"provide":[48],"a":[49,56,63,111,141,160,165,171,184,252],"brief":[50],"overview":[51,72],"with":[55,164,188,216,233],"special":[57],"focus":[58],"on":[59,100,220],"targeted":[60,107,186,254],"assays":[61,108],"as":[62],"potential":[64],"instrument":[65],"large-scale":[67],"implementation.":[68,93],"present":[70],"an":[71,125],"must":[78],"be":[79],"overcome":[80],"three":[82],"phases":[83],"order":[88],"facilitate":[90],"final":[92],"2":[95],"this":[97],"focuses":[99],"adapting":[101],"classical":[103],"gene-set":[104,131],"tests":[105],"by":[109,270],"proposing":[110],"new":[112],"method,":[113,145],"bcGST":[114,123],"(bias-corrected":[115],"Gene":[116],"Set":[117],"Test).":[118],"will":[120],"show":[121],"how":[122],"makes":[124],"improvement":[126],"cases":[128],"where":[129],"selection":[132,144],"bias":[133],"is":[134,156],"ignored.":[135],"3":[138],"novel":[142],"variable":[143],"APES":[146,155],"(APproximated":[147],"Exhaustive":[148],"Search),":[149],"generalised":[151],"linear":[152],"models":[153,206,224],"(GLMs).":[154],"capable":[157],"approximating":[159],"genuine":[161],"exhaustive":[162],"search":[163],"dramatically":[166],"improved":[167],"speed.":[168],"devise":[170],"comprehensive":[172],"set":[173],"simulations":[175],"test":[177],"APES's":[178],"performance":[179],"apply":[181],"it":[182],"real":[185],"assay":[187,255],"hundreds":[189],"variables.":[191],"4":[194],"Cross-Platform":[198],"Omics":[199],"Prediction":[200],"(CPOP)":[201],"procedure":[202],"constructs":[204],"\"transferable\"":[205],"which":[207],"possess":[208],"high":[209],"predictive":[210],"power":[211],"across":[212],"multiple":[213],"datasets":[215,250],"no":[217],"additional":[218],"manipulations":[219],"model.":[222],"CPOP":[223],"have":[225],"biologically":[226],"relevant":[227],"features":[228],"are":[230],"statistically":[231],"stable":[232],"respect":[234],"between-data":[236],"noise":[237],"thus":[239],"improve":[240],"reproducibility":[242],"predictions.":[245],"curate":[247],"four":[248],"melanoma":[249],"prospective":[253],"experiment":[256],"illustrate":[258],"novelty":[260],"CPOP.":[262],"contributes":[265],"research":[269],"developing":[271],"relevant,":[272],"interpretable":[273],"implementable":[275],"methods.":[277]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-02-24T00:00:00"}
