Jindent v4.1.0 for Windows
Jindentv4.1.0forWindows英文正式版(Java源代碼格式軟體)
破解說明:
checkcrack\install.txt
內容說明:
Jindent是一款功能強大的Java源代碼格式工具，Jindent按照你獨特的偏好使JAVA
變得漂亮或傳遞代碼到第三方代碼環境中。4.0版支援超過300種格式化選項，以及
Java5.0中的所有語言特性，包括泛型等等。此外Jindent4.0還提供了改進的GUI
設計和針對主要作業系統的本地安裝程式。
英文說明:
Highthroughputgeneexpressionanalysisisbecomingmore
andmoreimportantinmanyareasofbiomedicalresearch.
cDNAmicroarraytechnologyisoneverypromisingapproach
forhighthroughputanalysisandgivestheopportunityto
studygeneexpressionpatternsonagenomicscale.
Thousandsoreventensofthousandsofgenescanbe
spottedonamicroscopeslideandrelativeexpression
levelsofeachgenecanbedeterminedbymeasuringthe
fluorescenceintensityoflabeledmRNAhybridizedtothe
arrays.Hence,microarrayscanbeusedtoidentify
differentiallyexpressedgenesintwosamplesonalarge
scale.Beyondsimplediscriminationofdifferentially
expressedgenes,functionalannotation
(guilt-by-association)ordiagnosticclassification
requirestheclusteringofgenesfrommultipleexperiments
intogroupswithsimilarexpressionpatterns.Several
clusteringtechniqueswererecentlydevelopedandapplied
toanalyzemicroarraydata.
WehavedevelopedaplatformindependentJavapackageof
toolstosimultaneouslyvisualizeandanalyzeawholeset
ofgeneexpressionexperiments.Afterreadingthedata
fromflatfilesseveralgraphicalrepresentationsof
hybridizationscanbegenerated,showingamatrixof
experimentsandgenes,wheremultipleexperimentsand
genescanbeeasilycomparedwitheachother.Fluorescence
ratioscanbenormalizedinseveralwaystogainabest
possiblerepresentationofthedataforfurther
statisticalanalysis.Wehaveimplementedhierarchicaland
nonhierarchicalalgorithmstoidentifysimilarexpressed
genesandexpressionpatterns,including:1)hierarchical
clustering,2)k-means,3)selforganizingmaps,4)
principalcomponentanalysis,and5)supportvector
machines.Morethan10differentkindsofsimilarity
distancemeasurementshavebeenimplemented,rangingfrom
simplePearsoncorrelationtomoresophisticated
approacheslikemutualinformation.Moreover,itis
possibletomapgeneexpressiondataontochromosomal
sequences.Theflexibility,varietyofanalysistoolsand
datavisualizations,aswellasthefreeavailabilityto
theresearchcommunitymakesthissoftwaresuitea
valuabletoolinfuturefunctionalgenomicstudies.
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