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Missing value estimation methods for DNA microarrays

by Olga Troyanskaya, Michael Cantor, Gavin Sherlock, Pat Brown, Trevor Hastie, Robert Tibshirani, David Botstein, Russ B. Altman , 2001
"... Motivation: Gene expression microarray experiments can generate data sets with multiple missing expression values. Unfortunately, many algorithms for gene expression analysis require a complete matrix of gene array values as input. For example, methods such as hierarchical clustering and K-means clu ..."
Abstract - Cited by 477 (24 self) - Add to MetaCart
Motivation: Gene expression microarray experiments can generate data sets with multiple missing expression values. Unfortunately, many algorithms for gene expression analysis require a complete matrix of gene array values as input. For example, methods such as hierarchical clustering and K

Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation

by Yee Hwa Yang, Sandrine Dudoit, Percy Luu, Vivian Peng , 2002
"... There are many sources of systematic variation in cDNA microarray experiments which affect the measured gene expression levels (e.g. differences in labeling efficiency between the two fluorescent dyes). The term normalization refers to the process of removing such variation. A constant adjustment is ..."
Abstract - Cited by 718 (9 self) - Add to MetaCart
There are many sources of systematic variation in cDNA microarray experiments which affect the measured gene expression levels (e.g. differences in labeling efficiency between the two fluorescent dyes). The term normalization refers to the process of removing such variation. A constant adjustment

Ratio-Based Decisions and the Quantitative Analysis of cDNA Microarray Images

by Yidong Chen, Edward R. Dougherty, Michael L. Bittner , 1997
"... Gene expression can be quantitatively analyzed by hybridizing fluor-tagged mRNA to targets on a cDNA microarray. Comparison of gene expression levels arising from cohybridized samples is achieved by taking ratios of average expression levels for individual genes. A novel method of image segmentation ..."
Abstract - Cited by 366 (28 self) - Add to MetaCart
Gene expression can be quantitatively analyzed by hybridizing fluor-tagged mRNA to targets on a cDNA microarray. Comparison of gene expression levels arising from cohybridized samples is achieved by taking ratios of average expression levels for individual genes. A novel method of image

Statistical methods for identifying differentially expressed genes in replicated cDNA microarray experiments

by Sandrine Dudoit, Yee Hwa Yang, Matthew J. Callow, Terence P. Speed - STATISTICA SINICA , 2002
"... DNA microarrays are a new and promising biotechnology whichallows the monitoring of expression levels in cells for thousands of genes simultaneously. The present paper describes statistical methods for the identification of differentially expressed genes in replicated cDNA microarray experiments. A ..."
Abstract - Cited by 438 (12 self) - Add to MetaCart
DNA microarrays are a new and promising biotechnology whichallows the monitoring of expression levels in cells for thousands of genes simultaneously. The present paper describes statistical methods for the identification of differentially expressed genes in replicated cDNA microarray experiments

Normalization of cDNA microarray data

by Gordon K. Smyth, Terry Speed - Methods , 2003
"... Normalization means to adjust microarray data for effects which arise from variation in the technology rather than from biological differences between the RNA samples or between the printed probes. This article describes normalization methods based on the fact that dye balance typically varies with ..."
Abstract - Cited by 242 (8 self) - Add to MetaCart
Normalization means to adjust microarray data for effects which arise from variation in the technology rather than from biological differences between the RNA samples or between the printed probes. This article describes normalization methods based on the fact that dye balance typically varies

DNA Microarrays

by Jason M. Johnson, Stephen Edwards, Daniel Shoemaker, Eric E. Schadt - In Schena,M. (ed), A Practical Approach , 1999
"... Dark matter in the genome: evidence of ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
Dark matter in the genome: evidence of

by DNA Microarrays

by Dang Thi Lua, Motoshige Yasuike, Ikuo Hirono, Dang Thi Lua, Motoshige Yasuike, Ikuo Hirono, Takashi Aoki , 2004
"... These include: This article cites 61 articles, 27 of which can be accessed free at: ..."
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These include: This article cites 61 articles, 27 of which can be accessed free at:

extension in DNA microarrays

by Marek Kwiatkowski, See Profile, Anders Isaksson, Ulf Landegren, Marek Kwiatkowski, Simon Fredriksson, Anders Isaksson, Mats Nilsson, Ulf Landegren , 1999
"... Inversion of in situ synthesized oligonucleotides: Improved reagents for hybridization and primer extension in DNA microarrays ..."
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Inversion of in situ synthesized oligonucleotides: Improved reagents for hybridization and primer extension in DNA microarrays

Compensation in DNA Microarray Data

by Jim C. Huang, Quaid D. Morris, Brendan J. Frey, Jim C. Huang, Quaid D. Morris, Brendan J. Frey
"... The principal technology that is driving the rush of knowledge in genomic functional prediction is the DNA microarray. Whereas in the past, biological assays would be performed on ..."
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The principal technology that is driving the rush of knowledge in genomic functional prediction is the DNA microarray. Whereas in the past, biological assays would be performed on

Modulation of gene expression in Leishmania drug resistant mutants as determined by targeted DNA microarrays. Nucleic Acids Res

by Chantal Guimond, Nathalie Trudel, Christian Brochu, Nathalie Marquis, Amal El Fadili, Reâgis Peytavi, Guylaine Bri, Dave Richard, Nadine Messier, Barbara Papadopoulou, Jacques Corbeil, Michel G. Bergeron, Danielle Leâgareâ, Marc Ouellette , 2003
"... DNA microarrays ..."
Abstract - Cited by 12 (4 self) - Add to MetaCart
DNA microarrays
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