CellMix: a comprehensive toolbox for gene expression
暂无分享,去创建一个
[1] Jean YH Yang,et al. Bioconductor: open software development for computational biology and bioinformatics , 2004, Genome Biology.
[2] Mark M. Davis,et al. Cell type–specific gene expression differences in complex tissues , 2010, Nature Methods.
[3] C. Seoighe,et al. Semi-supervised Nonnegative Matrix Factorization for gene expression deconvolution: a case study. , 2012, Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases.
[4] Renaud Gaujoux,et al. A flexible R package for nonnegative matrix factorization , 2010, BMC Bioinformatics.
[5] Z. Modrušan,et al. Deconvolution of Blood Microarray Data Identifies Cellular Activation Patterns in Systemic Lupus Erythematosus , 2009, PloS one.
[6] Yingdong Zhao,et al. Gene expression deconvolution in clinical samples , 2010, Genome Medicine.
[7] R. Faull,et al. Population-specific expression analysis (PSEA) reveals molecular changes in diseased brain , 2011, Nature Methods.
[8] Steven H. Kleinstein,et al. Cell subset prediction for blood genomic studies , 2011, BMC Bioinformatics.
[9] S. Teichmann,et al. A HaemAtlas: characterizing gene expression in differentiated human blood cells , 2008, Blood.