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Items: 5

1.

High-throughput identification of RNA nuclear enrichment sequences.

Shukla CJ, McCorkindale AL, Gerhardinger C, Korthauer KD, Cabili MN, Shechner DM, Irizarry RA, Maass PG, Rinn JL.

EMBO J. 2018 Mar 15;37(6). pii: e98452. doi: 10.15252/embj.201798452. Epub 2018 Jan 15.

2.

A statistical approach for identifying differential distributions in single-cell RNA-seq experiments.

Korthauer KD, Chu LF, Newton MA, Li Y, Thomson J, Stewart R, Kendziorski C.

Genome Biol. 2016 Oct 25;17(1):222.

3.

MADGiC: a model-based approach for identifying driver genes in cancer.

Korthauer KD, Kendziorski C.

Bioinformatics. 2015 May 15;31(10):1526-35. doi: 10.1093/bioinformatics/btu858. Epub 2015 Jan 7.

4.

Methods for collapsing multiple rare variants in whole-genome sequence data.

Sung YJ, Korthauer KD, Swartz MD, Engelman CD.

Genet Epidemiol. 2014 Sep;38 Suppl 1:S13-20. doi: 10.1002/gepi.21820.

5.

Limited model antigen expression by transgenic fungi induces disparate fates during differentiation of adoptively transferred T cell receptor transgenic CD4+ T cells: robust activation and proliferation with weak effector function during recall.

W├╝thrich M, Ersland K, Pick-Jacobs JC, Gern BH, Frye CA, Sullivan TD, Brennan MB, Filutowicz HI, O'Brien K, Korthauer KD, Schultz-Cherry S, Klein BS.

Infect Immun. 2012 Feb;80(2):787-97. doi: 10.1128/IAI.05326-11. Epub 2011 Nov 28.

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