一種基于多維基因組數(shù)據(jù)的基因功能模塊的識(shí)別方法.pdf

1、、渤≮＼≮羔易∥分類(lèi)號(hào)一UDC奢級(jí)蛩開(kāi)一另囂聲夕乎碩士研究生學(xué)位論文一種基于多維基因組數(shù)據(jù)的基因功能模塊的識(shí)別方法，，，●o’申請(qǐng)人：周靜學(xué)號(hào)：2121272培養(yǎng)單位：數(shù)學(xué)科學(xué)學(xué)院學(xué)科專(zhuān)業(yè)：統(tǒng)計(jì)學(xué)研究方向：應(yīng)用統(tǒng)計(jì)指導(dǎo)教師：馬維軍完成日期：2015年3月28日黑龍汀入學(xué)：碩lj學(xué)位淪艾AbstractTheappearanceofnficroarraymakesusenabletomeasuretheexpressionlevelsof

2、tensofthousandsofgenessinmltaneouslyandittakesbiologyresearchalotofhelpwhilealsotakesdataanalysisnewpuzzlesInthosemethodsofselectingdifferentiallyexpressedgenesetsusegeneexpressionprofile，multivariatestatistictestisacomm

3、onandeffectiveoneBut，getthewholegenesetexpressionlevelofeverysampleishelpfulforindividualizeddiseaseresearch，whatpromotethedevelopingofmethodofdatadimensionreductionInthispaper，weconductdifferentiallyexpressedpathway(com

4、monpriorgeneset)analysisusegeneexpressionprofileafterintroducedsomeclassicdifferentiallyexpressedanalysisThekeymethodofthispaperisthemethodofdatadimensionreductionAfterweintroducingsomeclassicmethodofdatadimensionreducti

5、on，weproposeanewmethodthatismoresuitableforgeneexpressiondatabasedonanimprovementoflocalitypreservingprojectThen，wetaketworealdataset，andanalysisthembyournewmethodaswellasthoseclassiconesAfterallofthis，wetakethoseresults

6、tocomparewiththeresultofoneclassicmethodofselectingdifferentiallyexpressedpathway(genesetenrichmentanalysis)，andthenwegetthefeasibleofthenewmethodKeywords：microarray；geneexpressiondata；localitypreservingproject；pathwayII