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Volume 4, Issue 1 2005 Article 19 Statistical Applications in Genetics and Molecular Biology Comparing Bacterial DNA Microarray Fingerprints Alan Willse, Pacific Northwest National Laboratory Darrell P. Chandler, Biochip Technology Center, Argonne National Laboratory Amanda White, Pacific Northwest National Laboratory Miroslava Protic, Biochip Technology Center, Argonne National Laboratory Don S. Daly, Pacific Northwest National Laboratory Sharon Wunschel, Pacific Northwest National Laboratory Recommended Citation: Willse, Alan; Chandler, Darrell P.; White

References Bezdek, J. C. Pattern Recognition with Fuzzy Objective Function Algorithms. New York: Plenum Press, 1981. Dembèlè, D., Kastner, P. "Fuzzy c-means method for clustering microarray data," Bioinformatics, Vol. 19, No.8, pp.973-980, May 2003. Futschik, M. E., Kasabov, K. "Fuzzy Clustering of Gene Expression data," Available: http://itb.biologie.huberlin.de/~futschik/publis/futschik_ieee.pdf Tarca, A. L., Romero, R., Draghici, S. "Analysis of microarray experiments of gene expression profiling," American Journal of Obstetrics and Gynecology, Vol.195

References Brazma A, Hingamp P, Quackenbush J, Sherlock G, Spellman P, Stoeckert C, Aach J, Ansorge W, Ball CA, Causton HC, Gaasterland T, Glenisson P, Holstege FC, Kim IF, Markowitz V, Matese JC, Parkinson H, Robinson A, Sarkans U, Schulze-Kremer S, Stewart J, Taylor R, Vilo J, Vingron M. Minimum information about a microarray experiment (MIAME)-toward standards for microarray data. Nat Genet. 2001; 29(4):365-371. MGED (Microarray Gene Expression Data) Society [Internet]. [cited 2011 May 3] ( http://www.mged.org/ Field D, Sansone SA. A special issue on data

Volume 4, Issue 1 2005 Article 30 Statistical Applications in Genetics and Molecular Biology Weighted Analysis of Paired Microarray Experiments Erik Kristiansson, Chalmers University of Technology, first two authors contributed equally Anders Sjögren, Chalmers University of Technology, first two authors contributed equally Mats Rudemo, Chalmers University of Technology Olle Nerman, Chalmers University of Technology Recommended Citation: Kristiansson, Erik; Sjögren, Anders; Rudemo, Mats; and Nerman, Olle (2005) "Weighted Analysis of Paired Microarray Experiments

determination of autoantibodies is increasingly performed. This can be realized by line or dot immunoassay or by addressable laser bead immunoassays [ 3 ]. Microarray is another technical platform that allows multiplexed determination of autoantibodies. With this technique, antigens are typically attached to derivatized glass slides and antibodies are usually detected by fluorescent labels. Application of microarray technology for detection of the major clinically relevant autoantibodies was first described in 2002 [ 4 ]. Although microarray technology has been used in

synthesis. Journal of Electroanalytical Chemistry, 402, 217–219. DOI: 10.1016/0022-0728(95)04303-9. http://dx.doi.org/10.1016/0022-0728(95)04303-9 [36] Khairy, M., Kadara, R. O., Kampouris, D. K., & Banks, C. E. (2010). In situ bismuth film modified screen printed electrodes for the bio-monitoring of cadmium in oral (saliva) fluid. Analytical Methods, 2, 645–649. DOI: 10.1039/c0ay00056f. http://dx.doi.org/10.1039/c0ay00056f [37] Krishnamoorthy, G., Carlen, E. T., Beusink, J. B., Schasfoort, R. B. M., & van den Berg, A. (2009). Single injection microarray-based biosensor

collagen structural organization [ 19 ], [ 20 ]. Despite the several investigations noted above, only a few studies of the genetic analysis of the SCFE physis are available. Scharschmidt et al. found that type II collagen and aggrecan were significantly down-regulated in SCFE patients compared to controls [ 23 ]. Wang et al. were one of the first groups to use the novel technique of microarray analysis to examine genetic expression within the proximal femoral physis but investigated only the healthy physis of rats [ 24 ]. Microarray analysis is a technique that can

Volume 4, Issue 1 2005 Article 9 Statistical Applications in Genetics and Molecular Biology Early Diagnostic Marker Panel Determination for Microarray Based Clinical Studies Jochen Jaeger, Max Planck Institute for Molecular Genetics, Berlin Dieter Weichenhan, Universitätsklinikum Heidelberg, Internal Medicine III Boris Ivandic, Universitätsklinikum Heidelberg, Internal Medicine III Rainer Spang, Max Planck Institute for Molecular Genetics, Berlin Recommended Citation: Jaeger, Jochen; Weichenhan, Dieter; Ivandic, Boris; and Spang, Rainer (2005) "Early Diagnostic

screening tests for Down syndrome. In cases of sonographic abnormalities, the patients are referred for genetic counseling, which includes discussion of potential diagnoses and possible investigation. Fetal anatomic malformations are an indication for prenatal diagnostic testing by chromosomal microarray analysis (CMA). When indicated following formal genetic counseling, this test is financially covered as part of Israel’s national medical health services. Therefore, prenatal diagnosis of a pelvic kidney is routinely tested for chromosomal aberrations following genetic

Volume 5, Issue 1 2006 Article 25 Statistical Applications in Genetics and Molecular Biology Approximate Sample Size Calculations with Microarray Data: An Illustration José A. Ferreira, AMC - University of Amsterdam Aeilko Zwinderman, AMC - University of Amsterdam Recommended Citation: Ferreira, José A. and Zwinderman, Aeilko (2006) "Approximate Sample Size Calculations with Microarray Data: An Illustration," Statistical Applications in Genetics and Molecular Biology: Vol. 5: Iss. 1, Article 25. DOI: 10.2202/1544-6115.1227 Approximate Sample Size Calculations