A Patient-Gene Model for Temporal Expression Profiles in Clinical Studies
暂无分享,去创建一个
[1] T. Jaakkola,et al. Comparing the continuous representation of time-series expression profiles to identify differentially expressed genes , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[2] Russ B. Altman,et al. Missing value estimation methods for DNA microarrays , 2001, Bioinform..
[3] Nir Friedman,et al. Blood transcriptional signatures of multiple sclerosis: Unique gene expression of disease activity , 2004, Annals of neurology.
[4] John D. Storey,et al. A network-based analysis of systemic inflammation in humans , 2005, Nature.
[5] John D. Storey,et al. Significance analysis of time course microarray experiments. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[6] Tommi S. Jaakkola,et al. Continuous Representations of Time-Series Gene Expression Data , 2003, J. Comput. Biol..
[7] 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.
[8] C. Ball,et al. Identification of genes periodically expressed in the human cell cycle and their expression in tumors. , 2002, Molecular biology of the cell.
[9] Yuko Takeba,et al. Txk, a Member of Nonreceptor Tyrosine Kinase of Tec Family, Acts as a Th1 Cell-Specific Transcription Factor and Regulates IFN-γ Gene Transcription1 , 2002, The Journal of Immunology.
[10] Arpad Kelemen,et al. Differential and trajectory methods for time course gene expression data , 2005, Bioinform..
[11] George M. Church,et al. Aligning gene expression time series with time warping algorithms , 2001, Bioinform..
[12] Johan T. den Dunnen,et al. Large-scale gene expression analysis of human skeletal myoblast differentiation , 2004, Neuromuscular Disorders.
[13] Murali Ramanathan,et al. Genomic Effects of IFN-β in Multiple Sclerosis Patients 1 , 2003, The Journal of Immunology.
[14] Gareth M. James,et al. Functional linear discriminant analysis for irregularly sampled curves , 2001 .
[15] E. Lander,et al. Human macrophage activation programs induced by bacterial pathogens , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[16] I. Simon,et al. Combined static and dynamic analysis for determining the quality of time-series expression profiles , 2005, Nature Biotechnology.
[17] Ziv Bar-Joseph,et al. Analyzing time series gene expression data , 2004, Bioinform..