Integration of metabolomic and transcriptomic networks in pregnant women reveals biological pathways and predictive signatures associated with preeclampsia

Kelly, R.S., Croteau‐Chonka, D.C., Dahlin, A., Mirzakhani, H., Wu, A.C., Wan, E.S., McGeachie, M.J., Qiu, W., Sordillo, J.E., Al‐Garawi, A., Gray, K.J., McElrath, T.F., Carey, V.J., Clish, C.B., Litonjua, A.A., Weiss, S.T., &amp; Lasky‐Su, J. (2016). Integration of metabolomic and transcriptomic networks in pregnant women reveals biological pathways and predictive signatures associated with preeclampsia. <em>Metabolomics</em>. https://doi.org/10.1007/s11306-016-1149-8

Kelly RS, Croteau‐Chonka DC, Dahlin A, Mirzakhani H, Wu AC, Wan ES, et al. Integration of metabolomic and transcriptomic networks in pregnant women reveals biological pathways and predictive signatures associated with preeclampsia. Metabolomics. 2016. doi:10.1007/s11306-016-1149-8.

@unpublished{rachel2016Integr, title = {Integration of metabolomic and transcriptomic networks in pregnant women reveals biological pathways and predictive signatures associated with preeclampsia}, author = {Rachel S. Kelly and Damien C. Croteau‐Chonka and Amber Dahlin and Hooman Mirzakhani and Ann Chen Wu and Emily S. Wan and Michael J. McGeachie and Weiliang Qiu and Joanne E. Sordillo and Amal Al‐Garawi and Kathryn J. Gray and Thomas F. McElrath and Vincent J. Carey and Clary B. Clish and Augusto A. Litonjua and Scott T. Weiss and Jessica Lasky‐Su}, journal = {Metabolomics}, year = {2016}, doi = {10.1007/s11306-016-1149-8}, }