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Statistical Applications in Genetics and Molecular Biology|May 2, 2006
Use of mixture models in a microarray-based screening procedure for detecting differentially represented yeast mutantsRafael A Irizarry, Siew Loon Ooi, Zhijin Wu, et al.
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
Supervised detection of regulatory motifs in DNA sequencesSunduz Keles, Mark J van der Laan, Sandrine Dudoit, et al.
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
On the power of profiles for transcription factor binding site detectionSven Rahmann, Tobias Müller, Martin Vingron
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
An empirical bayesian method for differential expression studies using one-channel microarray dataYan Lin, Paul Reynolds, Eleanor Feingold
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
Evaluation of multiple models to distinguish closely related forms of disease using DNA microarray data: an application to multiple myelomaJohanna Hardin, Michael Waddell, C David Page, et al.
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
Saturation and quantization reduction in microarray experiments using two scans at different sensitivitiesJorge García de la Nava, Sacha van Hijum, Oswaldo Trelles
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
Mammalian genomes ease location of human DNA functional segments but not their descriptionLee A Newberg, Charles E Lawrence
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
Increasing power for tests of genetic association in the presence of phenotype and/or genotype error by use of double-samplingDerek Gordon, Yaning Yang, Chad Haynes, et al.
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
Statistical methods for identifying conserved residues in multiple sequence alignmentVirpi Ahola, Tero Aittokallio, Esa Uusipaikka, et al.
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
Validation and discovery in Markov models of genetics dataVictor De Gruttola, Andrea S Foulkes
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