Bioinformatics and Public Access Resources

[1]  Gary D. Bader,et al.  Pathguide: a Pathway Resource List , 2005, Nucleic Acids Res..

[2]  Ming Ouyang,et al.  Gaussian mixture clustering and imputation of microarray data , 2004, Bioinform..

[3]  Robert Clarke,et al.  Iterative normalization of cDNA microarray data , 2002, IEEE Transactions on Information Technology in Biomedicine.

[4]  S. Dudoit,et al.  Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation. , 2002, Nucleic acids research.

[5]  Terence P. Speed,et al.  A comparison of normalization methods for high density oligonucleotide array data based on variance and bias , 2003, Bioinform..

[6]  Yue Wang,et al.  Detection of complex interactions of multi-locus SNPS , 2008, 2008 IEEE Workshop on Machine Learning for Signal Processing.

[7]  Heinrich Jasper,et al.  Control of Metabolic Homeostasis by Stress Signaling Is Mediated by the Lipocalin NLaz , 2009, PLoS genetics.

[8]  S. Mccarroll,et al.  Copy-number variation and association studies of human disease , 2007, Nature Genetics.

[9]  David L. Wheeler,et al.  Bioinformatics resources from the National Center for Biotechnology Information: An integrated foundation for discovery , 2005, J. Assoc. Inf. Sci. Technol..

[10]  Zixiang Xiong,et al.  Normalization Benefits Microarray-Based Classification , 2006, EURASIP J. Bioinform. Syst. Biol..

[11]  D. Duffy,et al.  The EPAS1 gene influences the aerobic–anaerobic contribution in elite endurance athletes , 2005, Human Genetics.

[12]  Eric P. Hoffman,et al.  Probe set algorithms: is there a rational best bet? , 2006, BMC Bioinformatics.

[13]  Jung-Hsien Chiang.  Tech-ware: Bioinformatics and computational biology resources [Best of the Web] , 2009, IEEE Signal Processing Magazine.

[14]  D. MacArthur,et al.  ACTN3 genotype is associated with human elite athletic performance. , 2003, American journal of human genetics.

[15]  C. Li,et al.  Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection. , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[16]  Simon C. Potter,et al.  Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls , 2007, Nature.

[17]  P. Donnelly,et al.  Designing Genome-Wide Association Studies: Sample Size, Power, Imputation, and the Choice of Genotyping Chip , 2009, PLoS genetics.

[18]  David M. Herrington,et al.  An algorithm for learning maximum entropy probability models of disease risk that efficiently searches and sparingly encodes multilocus genomic interactions , 2009, Bioinform..

[19]  E. Hoffman,et al.  Nondisease genetic testing: reporting of muscle SNPs shows effects on self-concept and health orientation scales , 2005, European Journal of Human Genetics.

[20]  D. Allison,et al.  Detection of gene x gene interactions in genome-wide association studies of human population data. , 2007, Human heredity.

[21]  Rafael A Irizarry,et al.  Exploration, normalization, and summaries of high density oligonucleotide array probe level data. , 2003, Biostatistics.