Matthew N. McCall, Ph.D.

Affiliations: 
2010 Johns Hopkins University, Baltimore, MD 
Area:
Biostatistics Biology, Bioinformatics Biology, Statistics
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"Matthew McCall"

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Rafael 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
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