Matthew N. McCall, Ph.D.
Affiliations: | 2010 | Johns Hopkins University, Baltimore, MD |
Area:
Biostatistics Biology, Bioinformatics Biology, StatisticsGoogle:
"Matthew McCall"Parents
Sign in to add mentorRafael A. Irizarry | grad student | 2010 | Johns Hopkins | |
(Preprocessing and barcoding of data from a single microarray.) |
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Publications
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Nieuwenhuis TO, Yang SY, Verma RX, et al. (2020) Consistent RNA sequencing contamination in GTEx and other data sets. Nature Communications. 11: 1933 |
Burton DS, McCall M. (2020) Mixture Modeling for Genetic Regulatory Networks from Single Perturbation Gene Expression Experiments F1000research. 9 |
Zhang Y, Cuerdo J, Halushka MK, et al. (2019) The effect of tissue composition on gene co-expression. Briefings in Bioinformatics |
Nassiri I, McCall MN. (2018) Systematic exploration of cell morphological phenotypes associated with a transcriptomic query. Nucleic Acids Research |
Rosenberg AZ, Wright C, Fox-Talbot K, et al. (2018) xMD-miRNA-seq to generate near in vivo miRNA expression estimates in colon epithelial cells. Scientific Reports. 8: 9783 |
Halushka MK, Fromm B, Peterson KJ, et al. (2018) Big Strides in Cellular MicroRNA Expression. Trends in Genetics : Tig |
McCall MN, Kim MS, Adil M, et al. (2017) Toward the human cellular microRNAome. Genome Research |
Kemperman L, McCall MN. (2017) miRcomp-Shiny: Interactive assessment of qPCR-based microRNA quantification and quality control algorithms F1000research. 6: 2046 |
Li N, McCall MN, Wu Z. (2017) Establishing Informative Prior for Gene Expression Variance from Public Databases Statistics in Biosciences. 9: 160-177 |
Komisarof J, McCall M, Newman L, et al. (2016) A four gene signature predictive of recurrent prostate cancer. Oncotarget |