资源描述:
《[英文原版 图形算法] microarray image analysis:an algorithmic approach:1. introduction》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、1IntroductionFromitsbeginningsinasmallCambridgepubtothemulti-billiondollarindustrythatexiststoday,discoveringthesecretofDNAhastobeoneofthedrivingforcesbehindmodernscientificresearch.Overtheyears,researchintothisillusivecodehastakenmanyforms.Sincetheinitialmappingandopenpublicationofthehuma
2、ngenome,oneofthemostpublicizedapplicationshastobethatofmicroarraytechnologyanditsabilitytofacilitatethemonitoringofmanythousandsofgenessimultaneously.Eventhoughthelandscapeofdataanalysishasbeenseentoevolverapidlyinrecentyears,thebasicdesiretocaptureusefulinformationwithinthedataremainsres
3、ilient.Whatwasonceastrongholdforthestatisticalcommunityhasbeenthrowntothefield;triedandtestedmethodshavefailedtoadapttohighdimensional,undersampleddatawhilstthelargelyapplieddomainofintelligentdataanalysishasbeguntoexcel.Nosinglecommunitycannowstakeaclaimtodominance,asitisbecomingclearerth
4、attheonlywayfor-wardisthroughaunityoftechniques.Techniquesdevelopedforverydiffer-entpurposes,sometimesdecadesbefore,needtoberediscoveredwhilenovelideasaredeveloped.Thechallengenowisinutilizingthissometimesforgottenknowledgeinenvironmentsandwithdatathatisforeigntotheiroriginalap-plication,a
5、swellas,discoveringappropriatetechniquesfromfieldsthatmayhavebeenpreviouslydisassociated.Onlybyfocusingontheircommonality,theinterfacethatwillallowtheuseofatechniquedesignedoriginallyforacompletelydifferentpurpose,inawayneverbeforeenvisioned,canthefullpotentialofnewvastsumsofdatabetrulyreal
6、ized.Thisbookbringstogetherthedisparatefieldsofimageprocessing,dataanalysisandmolecularbiology,alongwithmanyotherstoalesserdegreesuchasoutlierdetection,statisticsandsignalprocessing,allofwhichcapturetheessenceofbioinformatics.HerethefocusisonextractingimprovedresultsfromexistingcDNAmicroar
7、rayexperiments,atechnologythatisstillearlyinitsdevelopment.Themajorityofresearchersinthisfieldrelyonverysimpletechniquesforthefirststagesofanalysisandthenusearangeofstatisticaltechniquestocleanandfilterthedata.Instead,itisproposedthattheseearlystagesarethemostcrucialin