ShrinkBayes: a versatile R-package for analysis of count-based sequencing data in complex study designs

Research output: Contribution to journal › Article › Academic › peer-review

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

@article{895ab3bedfa643fd8f8922d4c582afe1,

title = "ShrinkBayes: a versatile R-package for analysis of count-based sequencing data in complex study designs",

author = "\{van de Wiel\}, M.A. and M. Neerincx and T.E. Buffart and D.L.S. Sie and H.M. Verheul",

year = "2014",

doi = "10.1186/1471-2105-15-116",

language = "Undefined/Unknown",

volume = "15",

pages = "116",

journal = "BMC bioinformatics",

issn = "1471-2105",

publisher = "BioMed Central Ltd.",

}

TY - JOUR

T1 - ShrinkBayes: a versatile R-package for analysis of count-based sequencing data in complex study designs

AU - van de Wiel, M.A.

AU - Neerincx, M.

AU - Buffart, T.E.

AU - Sie, D.L.S.

AU - Verheul, H.M.

PY - 2014

Y1 - 2014

U2 - 10.1186/1471-2105-15-116

DO - 10.1186/1471-2105-15-116

M3 - Article

C2 - 24766777

SN - 1471-2105

VL - 15

SP - 116

JO - BMC bioinformatics

JF - BMC bioinformatics

M1 - 116

ER -