Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons

Open Access. Powered by Scholars. Published by Universities.®

Agriculture

Kansas State University Libraries

Conference

Gene expression

Publication Year

Articles 1 - 3 of 3

Full-Text Articles in Physical Sciences and Mathematics

Gene Set Testing To Characterize Multivariately Differentially Expressed Genes, John R. Stevens, S. Clay Isom Apr 2012

Gene Set Testing To Characterize Multivariately Differentially Expressed Genes, John R. Stevens, S. Clay Isom

Conference on Applied Statistics in Agriculture

In a gene expression experiment (using oligo array, RNA-Seq, or other platform), researchers typically seek to characterize di erentially expressed genes based on common gene function or pathway involve-ment. The eld of gene set testing provides numerous characterization methods, some of which have proven to be more valid and powerful than others. These existing gene set testing methods focus on experimental designs where there is a single null hypothesis (usually involving association with a continuous or categorical phenotype) for each gene. Increasingly common experimental designs lead to multiple null hypotheses for each gene, and the characterization of these multivariately di …


Dynamic Clustering Of Cell-Cycle Microarray Data, Lingling An, R. W. Doerge Apr 2008

Dynamic Clustering Of Cell-Cycle Microarray Data, Lingling An, R. W. Doerge

Conference on Applied Statistics in Agriculture

The cell cycle is a crucial series of events that are repeated over time, allowing the cell to grow, duplicate, and split. Cell-cycle systems play an important role in cancer and other biological processes. Using gene expression data gained from microarray technology it is possible to group or cluster genes that are involved in the cell-cycle for the purpose of exploring their functional co-regulation. Typically, the goal of clustering methods as applied to gene expression data is to place genes with similar expression patterns or profiles into the same group or cluster for the purpose of inferring the function of …


Genetic Mapping Of Gene Expression Levels: Expression Level Polymorphism Analysis For Dissecting Regulatory Networks Of Plant Disease Resistance, Kyunga Kim, Marilyn A. L. West, Richard W. Michelmore, Dina A. St. Clair, R. W. Doerge Apr 2004

Genetic Mapping Of Gene Expression Levels: Expression Level Polymorphism Analysis For Dissecting Regulatory Networks Of Plant Disease Resistance, Kyunga Kim, Marilyn A. L. West, Richard W. Michelmore, Dina A. St. Clair, R. W. Doerge

Conference on Applied Statistics in Agriculture

The genetic basis of inherited traits has been studied through di erent approaches in many areas of science. Examples include quantitative trait locus (QTL) analysis and mutant analysis in genetics, genome sequencing and gene expression analysis in genomics. Each of these approaches is used for the investigation of complex traits, such as disease resistance, but also provides knowledge on components of complex biological systems. We introduce a novel functional genomics approach that integrates two areas, genetics and genomics, by applying QTL analysis to quantitative di erences in the mRNA abundance of trait-related genes. This approach allows comprehensive dissection of regulatory …