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CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer.

, , , , , , , , , , , , , , and . PLoS Comput. Biol., (2019)

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Outlier Analysis and Top Scoring Pairfor Integrated Data Analysisand Biomarker Discovery., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 11 (3): 520-532 (2014)AGA: Interactive pipeline for reproducible genomics analyses., , , , , , and . F1000Research, (2015)PatternMarkers & GWCoGAPS for novel data-driven biomarkers via whole transcriptome NMF., , , , , , , , , and 6 other author(s). Bioinform., 33 (12): 1892-1894 (2017)CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer., , , , , , , , , and 5 other author(s). PLoS Comput. Biol., (2019)Splice Expression Variation Analysis (SEVA) for inter-tumor heterogeneity of gene isoform usage in cancer., , , , , , , , , and 6 other author(s). Bioinform., 34 (11): 1859-1867 (2018)Preserving biological heterogeneity with a permuted surrogate variable analysis for genomics batch correction., , , , , , , and . Bioinform., 30 (19): 2757-2763 (2014)Outlier Gene Set Analysis Combined with Top Scoring Pair Provides Robust Biomarkers of Pathway Activity., , , , , and . PRIB, volume 7986 of Lecture Notes in Computer Science, page 47-58. Springer, (2013)The effect of task conditions on the comprehensibility of synthetic speech., , and . CHI, page 321-328. ACM, (2000)