M. Schena, D. Shalon, R. Heller, A. Chai, P.O. Brown, and R.W. Davis. Parallel human genome analysis: Microarray-based expression monitoring of 1000 genes. Proceedings of the National Academy of Sciences of The United States of America, 93(20):10614--10619, 1996. Home/Search Document Not in Database Summary Related Articles Check |
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Shrinkage-Based Similarity Metric for Cluster.. - Cherepinsky, Feng.. (2003) (Correct)
....noise, often a statistician must resort to unconventional algorithms to deal with small sample data. A popular and one of the earliest clustering algorithms reported in the literature was introduced in [1] In this paper, the gene expression data were collected on spotted DNA microarrays [2] and were based upon gene expression in the budding yeast Saccharomyces cerevisiae during the diauxic shift [3] the mitotic cell division cycle [4] sporulation [5] and temperature and reducing shocks. In all experiments, RNA from experimental samples (taken at selected times during the process) ....
Schena, M., Shalon, D., Heller, R., Chai, A., Brown, P.O., and Davis, R.W. Parallel Human Genome Analysis: Microarray-based Expression Monitoring of 1000 Genes. Proceedings of the National Academy of Sciences, USA 93: 10614--10619, 1996.
Algorithmic Approaches to Clustering Gene Expression Data - Shamir, Sharan (2001) (20 citations) (Correct)
....technological aspects, which raise di erent computational issues in analyzing the data. For more on the technologies and their applications see, e.g. Marshall and Hodgson, 1998, Ramsay, 1998, Eisen and Brown, 1999, Chi, Lockhart and Winzeler, 2000] 11.2. 1 cDNA Microarrays cDNA microarrays [Schena et al. 1996, Schena, 1996, Marshall and Hodgson, 1998, Ramsay, 1998] are microscopic arrays which contain large sets of cDNA sequences immobilized on a solid substrate. In an array experiment, many gene speci c cDNAs are spotted on a single matrix. The matrix is then simultaneously probed with uorescently ....
....which raise di erent computational issues in analyzing the data. For more on the technologies and their applications see, e.g. Marshall and Hodgson, 1998, Ramsay, 1998, Eisen and Brown, 1999, Chi, Lockhart and Winzeler, 2000] 11.2. 1 cDNA Microarrays cDNA microarrays [Schena et al. 1996, Schena, 1996, Marshall and Hodgson, 1998, Ramsay, 1998] are microscopic arrays which contain large sets of cDNA sequences immobilized on a solid substrate. In an array experiment, many gene speci c cDNAs are spotted on a single matrix. The matrix is then simultaneously probed with uorescently tagged cDNA ....
M. Schena, D. Shalon, R. Heller, A. Chai, P. O. Brown, and R. W. Davis. Parallel human genome analysis: microarray-based expression monitoring of 1000 genes. Proc. Natl. Acad. Sci. U.S.A., 93:10614-9, 1996.
Intelligent DNA Chips: Logical Operation of Gene Expression .. - Sakakibara, Suyama (2000) (1 citation) (Correct)
....with the geneexpressio pattern. These featureso the intelligent DNA chip and the DCNmetho dallo w usmox quantitative analyseso geneexpressio prores and theloP qx o eratioxq Keywords: DNA chip, DNAco ded number,loPBfl o eratioq DNAcoP qflRfl 1 Introduction Recently, DNA chip [3]o r MicroqPW y [2, 6, 10] techno x .q have been develo ed andco flBxCPW as an impopPR t to o lfo detecting the geneexpressio levels. AmoC fascinating featureo DNA chip is the massive parallelismto enableto simultaneoPWB detect theexpressioB fo a large number o genes. This isdo. by using a simple technoB q o the ....
Schena, M., Shalon, D., Heller, R., Chai, A., Brown, P.O., and Davis, R.W., Parallel human genomeanalysis: Microarray-based expression monitoring of 1000 genes, Proc. Natl. Acad. Sci., 93(20):-BS""kz:z: 1996.
Statistical methods for identifying differentially.. - Dudoit, Yang, Callow.. (2000) (11 citations) (Correct)
....as well) We distinguish two main types of single slide methods: those which are based solely on the value of the expression ratio R G and those which also take into account overall transcript abundance measured by the product RG. Early analyses of microarray data (DeRisi et al. 8] Schena et al. [30, 31]) relied on fold increase decrease cut o#s to identify di#erentially expressed genes. For example, in their study of gene expression in the model plant Arabidopsis thaliana, Schena et al. 30] use spiked controls in the mRNA samples to normalize the signals for the two fluorescent dyes (there, ....
....to the annealing of nucleic acid strands from di#erent sources according to the base pairing rules. To utilize the hybridization property of DNA, complementary DNA or cDNA is obtained from mRNA by reverse transcription. There are di#erent types of microarray systems, including cDNA microarrays [8, 9, 11, 30, 31] and high density oligonucleotide arrays (proprietary A#ymetrix 6 chips) 22] the description below focuses on the former. cDNA microarrays consist of thousands of individual DNA sequences printed in a high density array on a glass microscope slide using a robotic arrayer. The relative ....
M. Schena, D. Shalon, R. Heller, A. Chai, P. O. Brown, and R. W. Davis. Parallel human genome analysis: microarray-based expression monotoring of 1000 genes. Proc. Natl. Acad. Sci., 93:10614--10619, 1996.
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M. Schena, D. Shalon, R. Heller, A. Chai, P.O. Brown, and R.W. Davis. Parallel human genome analysis: Microarray-based expression monitoring of 1000 genes. Proceedings of the National Academy of Sciences of The United States of America, 93(20):10614--10619, 1996.
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M. Schena, D. Shalon, R. Heller, A. Chai, P. O. Brown, and R. W. Davis, "Parallel human genome analysis: microarraybased expression monitoring of 1000 genes," Proc. Nat. Acad. Sci. U.S.A. 93(20), 10614--10619 (1996).
Developing a Logical Model of Yeast Metabolism - Reiser, King, Kell.. (2001) (Correct)
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M. Schena, D. Shalon, R. Heller, A. Chai, P. O. Brown, and R. W. Davis. Parallel human genome analysis - microarray-based expression monitoring of 1000 genes. Proc. Natl. Acad. Sci., 93:10614-10619, 1996. 17
Shrinkage-Based Similarity Metric for Cluster Analysis.. - Cherepinsky, Feng.. (2003) (Correct)
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Schena, M., Shalon, D., Heller, R., Chai, A., Brown, P.O., and Davis, R.W. Parallel Human Genome Analysis: Microarray-based Expression Monitoring of 1000 Genes. Proceedings of the National Academy of Sciences, USA 93: 10614-10619, 1996.
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M. Schena, D. Shalon, R. Heller, A. Chai, P. O. Brown, and R. W. Davis, Parallel human genome analysis: Microarray-based expression monitoring of 1000 genes, Proceedings of the National Academy of Sciences U S A 93 (1996), no. 20, 1061410619.
Ratio-Based Decisions and the Quantitative Analysis of.. - Chen, Dougherty, Bittner (1997) (42 citations) (Correct)
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M. Schena, D. Shalon, R. Heller, A. Chai, P. O. Brown, and R. W. Davis, "Parallel human genome analysis: microarraybased expression monitoring of 1000 genes," Proc. Nat. Acad. Sci. U.S.A. 93(20), 10614--10619 (1996).
Cluster Analysis for Gene Expression Data: A Survey - Jiang, Zhang (2002) (4 citations) (Correct)
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M. Schena, D. Shalon, R. Heller, A. Chai, P.O. Brown and R.W. Davis. "Parallel human genome analysis: microarray-based expression monitoring of 1000 genes", Proceedings of the National Academy of Sciences of the United States of America, Vol.93:10614-10619, 1996.
Practical Approaches to Analyzing Results of Microarray.. - Kaminski, Friedman (Correct)
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Schena, M., D. Shalon, R. Heller, A. Chai, P. O. Brown, and R. W. Davis. 1996. Parallel human genome analysis: microarray-based expression monitoring of 1000 genes. Proc. Natl. Acad. Sci. USA 93:10614--10619.
General Nonlinear Framework for the Analysis of Gene.. - Kim, Dougherty, Bittner (2000) (1 citation) (Correct)
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M. Schena, D. Shalon, R. Heller, A. Chai, P. O. Brown, and R. W. Davis, "Parallel human genome analysis: Microarray-based expression monitoring of 1000 genes," Proc. Natl. Acad. Sci. U.S.A. 93, 10614--10619 #1996#.
Computational Methods for the Identification of Differential and .. - Claverie (1999) (6 citations) (Correct)
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Schena, M., Shalon, D., Heller, R., Chai, A., Brown, P. and Davis, R. (1996) Parallel human genome analysis: microarray-based expression monitoring of 1000 genes. Proc. Natl Acad. Sci. USA, 93, 10614--10619.
A Bayesian Framework for the Analysis of Microarray Expression.. - Baldi, Long (2001) (16 citations) (Correct)
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Schena, M., Shalon, D., Heller, R., Chai, A., Brown, P. O. & Davis, R. W. (1995b). Parallel human genome analysis: microarray-based expression monitoring of 1000 genes. Proc. Natl. Acad. Sci. USA, 93, 10614--10619.
A Bayesian framework for the analysis of microarray expression.. - Baldi, al. (2001) (16 citations) (Correct)
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Schena,M., Shalon,D., Heller,R., Chai,A., Brown,P.O. and Davis,R.W. (1995b) Parallel human genome analysis: microarray-based expression monitoring of 1000 genes. Proc. Natl Acad. Sci. USA, 93, 10 614--10 619.
Mutual Information Relevance Networks: Functional Genomic.. - Butte, Kohane (2000) (8 citations) (Correct)
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Schena M, Shalon D, Heller R, Chai A, Brown PO, Davis RW. Parallel human genome analysis: microarray-based expression monitoring of 1000 genes. Proc Natl Acad Sci U S A 1996;93(20):10614-9.
Statistical Analysis of Array Expression Data as.. - Hilsenbeck.. (1999) (2 citations) (Correct)
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Schena M, Shalon D, Heller R, Chai A, Brown PO, Davis RW. Parallel human genome analysis: microarray-based expression monitoring of 1000 genes. Proc Natl Acad Sci U S A 1996; 93:10614--9.
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