Standard
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 journal › Journal article › Research › peer-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 -