PAIRUP-MS: Pathway analysis and imputation to relate unknowns in profiles from mass spectrometry-based metabolite data

Research output: Contribution to journalJournal articleResearchpeer-review

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PAIRUP-MS : Pathway analysis and imputation to relate unknowns in profiles from mass spectrometry-based metabolite data. / Hsu, Yu-Han H.; Churchhouse, Claire; Pers, Tune H.; Mercader, Josep M.; Metspalu, Andres; Fischer, Krista; Fortney, Kristen; Morgen, Eric K.; Gonzalez, Clicerio; Gonzalez, Maria E.; Esko, Tonu; Hirschhorn, Joel N.

In: PLOS Computational Biology, Vol. 15, No. 1, e1006734, 2019.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Hsu, Y-HH, Churchhouse, C, Pers, TH, Mercader, JM, Metspalu, A, Fischer, K, Fortney, K, Morgen, EK, Gonzalez, C, Gonzalez, ME, Esko, T & Hirschhorn, JN 2019, 'PAIRUP-MS: Pathway analysis and imputation to relate unknowns in profiles from mass spectrometry-based metabolite data', PLOS Computational Biology, vol. 15, no. 1, e1006734. https://doi.org/10.1371/journal.pcbi.1006734

APA

Hsu, Y-H. H., Churchhouse, C., Pers, T. H., Mercader, J. M., Metspalu, A., Fischer, K., Fortney, K., Morgen, E. K., Gonzalez, C., Gonzalez, M. E., Esko, T., & Hirschhorn, J. N. (2019). PAIRUP-MS: Pathway analysis and imputation to relate unknowns in profiles from mass spectrometry-based metabolite data. PLOS Computational Biology, 15(1), [e1006734]. https://doi.org/10.1371/journal.pcbi.1006734

Vancouver

Hsu Y-HH, Churchhouse C, Pers TH, Mercader JM, Metspalu A, Fischer K et al. PAIRUP-MS: Pathway analysis and imputation to relate unknowns in profiles from mass spectrometry-based metabolite data. PLOS Computational Biology. 2019;15(1). e1006734. https://doi.org/10.1371/journal.pcbi.1006734

Author

Hsu, Yu-Han H. ; Churchhouse, Claire ; Pers, Tune H. ; Mercader, Josep M. ; Metspalu, Andres ; Fischer, Krista ; Fortney, Kristen ; Morgen, Eric K. ; Gonzalez, Clicerio ; Gonzalez, Maria E. ; Esko, Tonu ; Hirschhorn, Joel N. / PAIRUP-MS : Pathway analysis and imputation to relate unknowns in profiles from mass spectrometry-based metabolite data. In: PLOS Computational Biology. 2019 ; Vol. 15, No. 1.

Bibtex

@article{4eed8eebf2b44db78e17c51916891821,
title = "PAIRUP-MS: Pathway analysis and imputation to relate unknowns in profiles from mass spectrometry-based metabolite data",
author = "Hsu, {Yu-Han H.} and Claire Churchhouse and Pers, {Tune H.} and Mercader, {Josep M.} and Andres Metspalu and Krista Fischer and Kristen Fortney and Morgen, {Eric K.} and Clicerio Gonzalez and Gonzalez, {Maria E.} and Tonu Esko and Hirschhorn, {Joel N.}",
year = "2019",
doi = "10.1371/journal.pcbi.1006734",
language = "English",
volume = "15",
journal = "P L o S Computational Biology (Online)",
issn = "1553-734X",
publisher = "Public Library of Science",
number = "1",

}

RIS

TY - JOUR

T1 - PAIRUP-MS

T2 - Pathway analysis and imputation to relate unknowns in profiles from mass spectrometry-based metabolite data

AU - Hsu, Yu-Han H.

AU - Churchhouse, Claire

AU - Pers, Tune H.

AU - Mercader, Josep M.

AU - Metspalu, Andres

AU - Fischer, Krista

AU - Fortney, Kristen

AU - Morgen, Eric K.

AU - Gonzalez, Clicerio

AU - Gonzalez, Maria E.

AU - Esko, Tonu

AU - Hirschhorn, Joel N.

PY - 2019

Y1 - 2019

U2 - 10.1371/journal.pcbi.1006734

DO - 10.1371/journal.pcbi.1006734

M3 - Journal article

C2 - 30640898

VL - 15

JO - P L o S Computational Biology (Online)

JF - P L o S Computational Biology (Online)

SN - 1553-734X

IS - 1

M1 - e1006734

ER -

ID: 214687820