robust non-negative matrix factorization analysis of microarray data (2008)
Paul Fogel, S. Stanley Young, Douglas M. Hawkins, Nathalie Ledirac, David Rocke
Motivation: Modern methods like micro arrays, proteomics and metabolomics often produce data sets where there are many more predictor variables than observations. Research in these areas is often...
Jiexin Zhang, Yuan Ji, Li Zhang, Associate Editor:. Prof, David Rocke
Motivation: It is an important and difficult task to extract gene network information from high throughput genomic data. A common approach is to cluster genes using pair-wise correlation as a...
Ian B. Jeffery, Stephen F. Madden, Paul A. Mcgettigan, Guy Perrière, Aedín C. Culhane, Desmond G. Higgins, ...
transcription factor binding site information with gene
Dimension Reduction for Classification with Gene Expression Microarray Data (2006)
Dai, Jian J, Lieu, Linh, Rocke, David
An important application of gene expression microarray data is classification of biological samples or prediction of clinical and other outcomes. One necessary part of multivariate statistical...
Dimension Reduction for Classification with Gene Expression Microarray Data (2006)
Dai, Jian J, Lieu, Linh, Rocke, David
An important application of gene expression microarray data is classification of biological samples or prediction of clinical and other outcomes. One necessary part of multivariate statistical...
Dimension Reduction for Classification with Gene Expression Microarray Data (2006)
Dai, Jian J, Lieu, Linh, Rocke, David
An important application of gene expression microarray data is classification of biological samples or prediction of clinical and other outcomes. One necessary part of multivariate statistical...
Dimension Reduction for Classification with Gene Expression Microarray Data (2006)
Dai, Jian J, Lieu, Linh, Rocke, David
An important application of gene expression microarray data is classification of biological samples or prediction of clinical and other outcomes. One necessary part of multivariate statistical...
Gaëlle Lelandais, Pierre Vincens, Anne Badel-chagnon, Stéphane Vialette, Claude Jacq, Serge Hazout, ...
Motivation: Molecular evolution, which is classically assessed by comparison of individual proteins or genes between species, can now be studied by comparing co-expressed functional groups of genes....
Robert Grossman, Simon Kasif, Reagan Moore, David Rocke, Jeff Ullman
All opinions, findings, conclusions and recommendations in any material resulting from these workshops are those of the workshops ' participants, and do not necessarily reflect the views of the...
Dimension Reduction for Classification with Gene Expression Microarray Data
Jian Dai, Linh Lieu, David Rocke
An important application of gene expression microarray data is classification of biological samples or prediction of clinical and other outcomes. One necessary part of multivariate statistical...
Jung, Ki-Hong, Dardick, Christopher, Bartley, Laura E., Cao, Peijian, Phetsom, Jirapa, Canlas, Patrick, ...
Studies of gene function are often hampered by gene-redundancy, especially in organisms with large genomes such as rice (Oryza sativa). We present an approach for using transcriptomics data to focus...