Probabilistic estimation of microarray data reliability and underlying gene expression
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[1] C. Peterson,et al. RNA analysis of B cell lines arrested at defined stages of differentiation allows for an approximation of gene expression patterns during B cell development , 2003, Journal of leukocyte biology.
[2] Sui Huang. Gene expression profiling, genetic networks, and cellular states: an integrating concept for tumorigenesis and drug discovery , 1999, Journal of Molecular Medicine.
[3] Stuart A. Kauffman,et al. ORIGINS OF ORDER , 2019, Origins of Order.
[4] 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.
[5] Ronald W. Davis,et al. A genome-wide transcriptional analysis of the mitotic cell cycle. , 1998, Molecular cell.
[6] 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.
[7] S. Bilke,et al. microarrays in immunomodulation and inflammation as analyzed by DNA CD 44-stimulated human B cells express transcripts specifically involved , 2002 .
[8] Jarkko Venna,et al. Analysis and visualization of gene expression data using Self-Organizing Maps , 2002, Neural Networks.
[9] A. Rolink,et al. The transition from immature to mature B cells. , 1999, Current topics in microbiology and immunology.
[10] P. Törönen,et al. Analysis of gene expression data using self‐organizing maps , 1999, FEBS letters.
[11] S. Kauffman. Metabolic stability and epigenesis in randomly constructed genetic nets. , 1969, Journal of theoretical biology.
[12] A. Rolink,et al. B cell development in the mouse from early progenitors to mature B cells. , 1999, Immunology letters.
[13] M. Sigvardsson,et al. Transcriptional regulation in B cell differentiation. , 1999, Critical reviews in immunology.
[14] A. Rolink,et al. B-cell development: a comparison between mouse and man. , 1998, Immunology today.
[15] Gary D. Stormo,et al. Selection of optimal DNA oligos for gene expression arrays , 2001, Bioinform..
[16] Gary A. Churchill,et al. Analysis of Variance for Gene Expression Microarray Data , 2000, J. Comput. Biol..
[17] 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.
[18] Michal Linial,et al. Using Bayesian Networks to Analyze Expression Data , 2000, J. Comput. Biol..
[19] Neal S. Holter,et al. Fundamental patterns underlying gene expression profiles: simplicity from complexity. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[20] M. Busslinger,et al. Fidelity and infidelity in commitment to B-lymphocyte lineage development. , 2000, Immunological reviews.
[21] M K Kerr,et al. Bootstrapping cluster analysis: Assessing the reliability of conclusions from microarray experiments , 2001, Proceedings of the National Academy of Sciences of the United States of America.