Missing Value Estimation
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[1] F. Yates. The analysis of replicated experiments when the field results are incomplete , 1933 .
[2] G. N. Wilkinson. Estimation of Missing Values for the Analysis of Incomplete Data , 1958 .
[3] T. W. Anderson. An Introduction to Multivariate Statistical Analysis , 1959 .
[4] R. Bulger,et al. Antimicrobial Agents and Chemotherapy , 1969, Nature.
[5] Gene H. Golub,et al. Matrix computations , 1983 .
[6] D. Rubin,et al. Statistical Analysis with Missing Data. , 1989 .
[7] W. Loh,et al. Tree-Structured Classification via Generalized Discriminant Analysis. , 1988 .
[8] P. Brown,et al. Exploring the metabolic and genetic control of gene expression on a genomic scale. , 1997, Science.
[9] D. Botstein,et al. The transcriptional program of sporulation in budding yeast. , 1998, Science.
[10] Michael Ruogu Zhang,et al. Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. , 1998, Molecular biology of the cell.
[11] D. Botstein,et al. Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[12] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.
[13] J. Mesirov,et al. Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[14] Laurie J. Heyer,et al. Exploring expression data: identification and analysis of coexpressed genes. , 1999, Genome research.
[15] D. Botstein,et al. Singular value decomposition for genome-wide expression data processing and modeling. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[16] Joshua M. Stuart,et al. MICROARRAY EXPERIMENTS : APPLICATION TO SPORULATION TIME SERIES , 1999 .
[17] Christian A. Rees,et al. Molecular portraits of human breast tumours , 2000, Nature.
[18] Ash A. Alizadeh,et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling , 2000, Nature.
[19] D Haussler,et al. Knowledge-based analysis of microarray gene expression data by using support vector machines. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[20] D. Botstein,et al. Genomic expression programs in the response of yeast cells to environmental changes. , 2000, Molecular biology of the cell.
[21] Ash A. Alizadeh,et al. 'Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns , 2000, Genome Biology.
[22] Russ B. Altman,et al. Missing value estimation methods for DNA microarrays , 2001, Bioinform..
[23] Atul J. Butte,et al. Determining Significant Fold Differences in Gene Expression Analysis , 2000, Pacific Symposium on Biocomputing.
[24] Tommi S. Jaakkola,et al. A new approach to analyzing gene expression time series data , 2002, RECOMB '02.
[25] Thomas Lengauer,et al. Diversity and complexity of HIV-1 drug resistance: A bioinformatics approach to predicting phenotype from genotype , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[26] Thomas Lengauer,et al. Methods for optimizing antiviral combination therapies , 2003, ISMB.
[27] Thomas Lengauer,et al. Tenofovir Resistance and Resensitization , 2003, Antimicrobial Agents and Chemotherapy.
[28] Thomas Lengauer,et al. Geno2pheno: estimating phenotypic drug resistance from HIV-1 genotypes , 2003, Nucleic Acids Res..
[29] Thomas Lengauer,et al. Learning multiple evolutionary pathways from cross-sectional data , 2004, J. Comput. Biol..
[30] Thomas Lengauer,et al. Estimating HIV evolutionary pathways and the genetic barrier to drug resistance. , 2005, The Journal of infectious diseases.
[31] Thomas Lengauer,et al. Mtreemix: a software package for learning and using mixture models of mutagenetic trees , 2005, Bioinform..