Type of Material: | Thesis |
Title: | Statistical modelling and analysis of Microarray Gene Expression Data |
Researcher: | Sreekumar, J |
Guide: | Jose, K K |
Department: | Department of Statistics |
Publisher: | Mahatma Gandhi University |
Place: | Kottayam |
Year: | March 2007 |
Language: | English |
Subject: | Autoregressive process | Microarray | Gene expression | Generalized p value | Muliple hypothesis testing | False discovery rate | Bayesian variable selection | Principal component analysis | Partial least squares | Distribution theory | Statistics |
Dissertation/Thesis Note: | PhD |
Fulltext: | Shodhganga |
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040 | __ | |aMGND_686560|dIN-AhILN |
041 | __ | |aeng |
100 | __ | |aSreekumar, J|eResearcher |
110 | __ | |aDepartment of Statistics|bMahatma Gandhi University|dKottayam |
245 | __ | |aStatistical modelling and analysis of Microarray Gene Expression Data |
260 | __ | |aKottayam|bMahatma Gandhi University|cMarch 2007 |
502 | __ | |bPhD |
518 | __ | |oDate of Notification|d2007-03 |
520 | __ | |aDNA microarray experiments raise numerous statistical questions in different fields as diverse as image analysis, experimental design, hypothesis testing, cluster analysis and distribution theory etc. Noise creeps into microarray experiments at each sta |
650 | __ | |2UGC|aStatistics |
653 | __ | |aAutoregressive process |
653 | __ | |aMicroarray |
653 | __ | |aGene expression |
653 | __ | |aGeneralized p value |
653 | __ | |aMuliple hypothesis testing |
653 | __ | |aFalse discovery rate |
653 | __ | |aBayesian variable selection |
653 | __ | |aPrincipal component analysis |
653 | __ | |aPartial least squares |
653 | __ | |aDistribution theory |
700 | __ | |aJose, K K|eGuide |
856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/7110|yShodhganga |
905 | __ | |anotification |
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