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ment has been reached, a card with the name of the trend is placed in the quadrant. As shown in Exhibit 5.2, a weight factor is given to the quadrants that indicates the relevance of the trend for the business objective.
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In its definitions of attributes, 3 emphasizes the need for determinism, adaptive provisioning schemas, and decentralized control. A Grid network infrastructure must then be associated with facilities that monitor the available supply of network resources as well as the fulfillment of outstanding network SLAs. These facilities can be considered a way of closing a real-time feedback loop between network, Grid infrastructure, and Grid application(s). The continuous acquisition of performance information results in a dataset that Grid network infrastructure can value for future provisioning actions. For greatest impact, the dataset needs to be fed into Grid infrastructure information services (e.g., Globus MDS), which will then best assist the resource collective layers (e.g., the community scheduler framework [20]) concerned
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Name Armin Silberhorn Philippe Dupuis Renzo Failli Ted Beddoes Gunnar Fremin Dick Hoefsloot Petter Bliksrud Miguel Menchen Arne Foxman Kari Marttinen George Schmitt Bruno Massiet du Biest Mike Short Gretel Holcomb Hoffman Adriana Nugter Richard Midgett Michael Stocks Jim Healy Scott Fox Start date September 1987 March 1988 September 1988 March 1989 September 1989 March 1990 September 1990 March 1991 September 1991 March 1992 March 1993 March 1994 March 1995 March 1996 March 1997 May 1998 May 1999 May 2000 May 2001 End Date March 1988 September 1988 March 1989 September 1989 March 1990 September 1990 March 1991 September 1991 March 1992 March 1993 March 1994 March 1995 March 1996 March 1997 April 1998 April 1999 April 2000 April 2001 April 2002
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1. Schena M, Shalon D, Davis RW, Brown PO. Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science 1995;270:467 470. 2. Lockhart DJ, Dong H, Byrne MC, Follettie MT, Gallo MV, Chee MS, Mittmann M, Wang C, Kobayashi M, Horton H, Brown EL. Expression monitoring by hybridization to highdensity oligonucleotide arrays. Nat Biotechnol 1996;14:1675 1680. 3. Golub TR, Slonim DK, Tamayo P, Huard C, Gaasenbeek M, Mesirov JP, Coller H, Loh ML, Downing JR, Caligiuri MA, Bloom eld CD, Lander ES. Molecular classi cation of cancer: class discovery and class prediction by gene expression monitoring. Science 1999;286:531 537. 4. Bozdech Z, Llinas M, Pulliam BL, Wong ED, Zhu J, DeRisi JL. The transcriptome of the intraerythrocytic developmental cycle of Plasmodium falciparum. PLoS Biol 2003;1:E5. 5. Vernon SD, Reeves WC. The challenge of integrating disparate high-content data: epidemiological, clinical and laboratory data collected during an in-hospital study of chronic fatigue syndrome. Pharmacogenomics 2006;7:345 354. 6. Yang YH, Buckley MJ, Speed TP. Analysis of cDNA microarray images. Brief Bioinform 2001;2:341 349. 7. Yap G. Affymetrix, Inc. Pharmacogenomics 2002;3:709 711. 9. Kooperberg C, Fazzio TG, Delrow JJ, Tsukiyama T. Improved background correction for spotted DNA microarrays. J Comput Biol 2002;9:55 66. 9. Cui X, KM, Churchill GA. Transformations for cDNA microarray data. Stat Appl Genet Mol Biol 2003;2:article 4. 10. Troyanskaya O, Cantor M, Sherlock G, Brown P, Hastie T, Tibshirani R, Botstein D, Altman RB. Missing value estimation methods for DNA microarrays. Bioinformatics 2001;17:520 525. 11. Kim H, Golub GH, Park H. Missing value estimation for DNA microarray gene expression data: local least squares imputation. Bioinformatics 2005;21:187 198. 12. Johansson P, Hakkinen J. Improving missing value imputation of microarray data by using spot quality weights. BMC Bioinform 2006;7:306. 13. Tuikkala J, Elo L, Nevalainen OS, Aittokallio T. Improving missing value estimation in microarray data with gene ontology. Bioinformatics 2006;22:566 572. 14. Quackenbush J. Microarray data normalization and transformation. Nat Genet 2002; 32(Suppl):496 501.
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Hruban, Z. & M. Rechcigl (1969) Microbodies and related particles: morphology, biochemistry and physiology. Aca Press, New York, London, 296 pp. Huang, P.C. (1993) Metallothionein structure/function interface. In: (eds Suzuki, K.T., N. Imura & M. Kimura) Metallothionein III. Basel, Birkh user Verlag, pp. 405 426. Hylland, K. (1999) Biological effects of contaminants: quanti cation of metallothionein in sh liver tissue. ICES Techniques in Marine Environmental Sciences, No. 26, 18 pp. Ibabe, A. (1998) Ziklo marealaren eragina muskuiluen peroxisomen egituran eta aktibitate entzimatikoetan. Licenciature Thesis, University of the Basque Country, Bilbo. 106 pp. IPCS (1992) International Programme on Chemical Safety. World Health Organization, Geneva, 141 pp. (Environmental Health Criteria, 131). Issemann, I. & S. Green (1990) Activation of a member of the steroid hormone receptor superfamily by peroxisome proliferators. Nature, 347, 645 650. Iwama, G.K., P.T. Thomas, R.H. Forsyth & M.M. Vijayan (1998) Heat shock protein expression in sh. Reviews in Fish Biology, 8, 35 56. James, M.O. (1987) Conjugation of organic pollutants in aquatic species. Environmental Health Perspectives, 71, 97 103. James, S.I. & J.T. Ahokas (1992) Effect of peroxisome proliferators on glutathione-dependent sulphobromophthalein excretion. Xenobiotica., 22, 1425 1432. James, N.H. & R.A. Roberts (1995) Species differences in the clonal expansion of hepatocytes in response to the coaction of epidermal growth factor and nafenopin, a rodent hepatocarcinogenic peroxisome proliferator. Fundamental and Applied Toxicology, 26, 143 149. Jha, A.N., T.H. Hutchinson, J.M. Mackay, B.M. Elliot & D.R. Dixon (1996) Development of an in vivo genotoxicity assay using the marine worm Platynereis dumerilii (Polychaeta: Nereidae). Mutation Research, 359, 141 150. Jobling, S., T. Reynolds, R. White, M.G. Parker & J.P. Sumpter (1995) A variety of environmentally persistent chemicals, including some phthalate plasticisers, are weakly estrogenic. Environmental Health Perspectives, 103, 582 587. Johnson, L.L., J.E. Stein, T.K. Collier, E. Casillas, B. McCain & U. Varanasi (1992) Bioindicators of contaminant exposure, liver pathology, and reproductive development in prespawning female winter ounder (Pseudopleuronectes americanus) from urban and nonurban estuaries on the Northeast Atlantic coast. National Marine Fisheries Service, NOAA, USA (August 1992, NOAA Technical Memorandum). K gi, J.H.R. (1993) Evolution, structure and chemical activity of class I metallothioneins: an overview. In: (eds Suzuki, K.T., N. Imura & M. Kimura) Metallothionein III. Basel, Birkh user Verlag, pp. 30 55. Kasai, H. & S. Nishimura (1986) Hydroxylation of guanine in nucleosides and DNA at the C-8 position by heated glucose and oxygen radical-forming agents. Environmental Health Perspectives, 67, 111 116. Kehrer, J.P. (1993) Free radicals as mediators of tissue injury and disease. Critical Reviews in Toxicology, 23, 21 48. Keller, G., T.G. Warner, K.S. Steimer & R.A. Halewell (1991) Cu-Zn superoxide dismutase is a peroxisomal enzyme in human broblasts and hepatoma cells. Proceedings of the National Academy of Sciences of the USA, 88, 7381 7385. Kille, P., J. Kay & G.E. Sweeney (1993) Analysis of regulatory elements anking metallothionein genes in Cd-tolerant sh (pike and stone loach). Biochimica et Biophysica Acta, 1216, 55 64. Kling, P. & P.-E. Olsson (1995) Regulation of the rainbow trout metallothionein-A gene. Marine Environmental Research, 39, 117 120. Kling, P., L.J. Erkell, P. Kille & P.-E. Olsson (1996) Metallothionein induction in rainbow trout gonadal (RTG-2) cells during free radical exposure. Marine Environmental Research, 42, 33 36.
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