Protein-driven inference of miRNA-disease associations

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Protein-driven inference of miRNA-disease associations. / Mørk, Søren; Pletscher-Frankild, Sune; Palleja, Albert; Gorodkin, Jan; Jensen, Lars Juhl.

In: Bioinformatics (Oxford, England), Vol. 30, No. 3, 2014, p. 392-397.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Mørk, S, Pletscher-Frankild, S, Palleja, A, Gorodkin, J & Jensen, LJ 2014, 'Protein-driven inference of miRNA-disease associations', Bioinformatics (Oxford, England), vol. 30, no. 3, pp. 392-397. https://doi.org/10.1093/bioinformatics/btt677

APA

Mørk, S., Pletscher-Frankild, S., Palleja, A., Gorodkin, J., & Jensen, L. J. (2014). Protein-driven inference of miRNA-disease associations. Bioinformatics (Oxford, England), 30(3), 392-397. https://doi.org/10.1093/bioinformatics/btt677

Vancouver

Mørk S, Pletscher-Frankild S, Palleja A, Gorodkin J, Jensen LJ. Protein-driven inference of miRNA-disease associations. Bioinformatics (Oxford, England). 2014;30(3):392-397. https://doi.org/10.1093/bioinformatics/btt677

Author

Mørk, Søren ; Pletscher-Frankild, Sune ; Palleja, Albert ; Gorodkin, Jan ; Jensen, Lars Juhl. / Protein-driven inference of miRNA-disease associations. In: Bioinformatics (Oxford, England). 2014 ; Vol. 30, No. 3. pp. 392-397.

Bibtex

@article{bb261e4a27f34b65b18bcf517bb9d14a,
title = "Protein-driven inference of miRNA-disease associations",
abstract = "MicroRNAs (miRNAs) are a highly abundant class of non-coding RNA genes involved in cellular regulation and thus also diseases. Despite miRNAs being important disease factors, miRNA-disease associations remain low in number and of variable reliability. Furthermore, existing databases and prediction methods do not explicitly facilitate forming hypotheses about the possible molecular causes of the association, thereby making the path to experimental follow-up longer.",
author = "S{\o}ren M{\o}rk and Sune Pletscher-Frankild and Albert Palleja and Jan Gorodkin and Jensen, {Lars Juhl}",
year = "2014",
doi = "10.1093/bioinformatics/btt677",
language = "English",
volume = "30",
pages = "392--397",
journal = "Computer Applications in the Biosciences",
issn = "1471-2105",
publisher = "Oxford University Press",
number = "3",

}

RIS

TY - JOUR

T1 - Protein-driven inference of miRNA-disease associations

AU - Mørk, Søren

AU - Pletscher-Frankild, Sune

AU - Palleja, Albert

AU - Gorodkin, Jan

AU - Jensen, Lars Juhl

PY - 2014

Y1 - 2014

N2 - MicroRNAs (miRNAs) are a highly abundant class of non-coding RNA genes involved in cellular regulation and thus also diseases. Despite miRNAs being important disease factors, miRNA-disease associations remain low in number and of variable reliability. Furthermore, existing databases and prediction methods do not explicitly facilitate forming hypotheses about the possible molecular causes of the association, thereby making the path to experimental follow-up longer.

AB - MicroRNAs (miRNAs) are a highly abundant class of non-coding RNA genes involved in cellular regulation and thus also diseases. Despite miRNAs being important disease factors, miRNA-disease associations remain low in number and of variable reliability. Furthermore, existing databases and prediction methods do not explicitly facilitate forming hypotheses about the possible molecular causes of the association, thereby making the path to experimental follow-up longer.

U2 - 10.1093/bioinformatics/btt677

DO - 10.1093/bioinformatics/btt677

M3 - Journal article

C2 - 24273243

VL - 30

SP - 392

EP - 397

JO - Computer Applications in the Biosciences

JF - Computer Applications in the Biosciences

SN - 1471-2105

IS - 3

ER -

ID: 88175763