%0 Journal Article %1 maric2022early %A Marić, Ivana %A Contrepois, Kévin %A Moufarrej, Mira N %A Stelzer, Ina A %A Feyaerts, Dorien %A Han, Xiaoyuan %A Tang, Andy %A Stanley, Natalie %A Wong, Ronald J %A Traber, Gavin M %A others, %D 2022 %I Elsevier %J Patterns %K longitudinal modeling multi multiomics myown omics prediction preeclampsia pregnancy %N 12 %P 100655 %T Early prediction and longitudinal modeling of preeclampsia from multiomics %V 3

@article{maric2022early, added-at = {2023-01-14T21:22:42.000+0100}, author = {Mari{\'c}, Ivana and Contrepois, K{\'e}vin and Moufarrej, Mira N and Stelzer, Ina A and Feyaerts, Dorien and Han, Xiaoyuan and Tang, Andy and Stanley, Natalie and Wong, Ronald J and Traber, Gavin M and others}, biburl = {https://www.bibsonomy.org/bibtex/27da61556d4feba77c47b08ce19be7737/becker}, description = {impactfactor = {4.39},impactfactor-year = {2022},impactfactor-source = {https://www.resurchify.com/impact/details/21101028388}}, interhash = {47a0b8d17c886a9030b2d609dc08f2a2}, intrahash = {7da61556d4feba77c47b08ce19be7737}, journal = {Patterns}, keywords = {longitudinal modeling multi multiomics myown omics prediction preeclampsia pregnancy}, number = 12, pages = 100655, publisher = {Elsevier}, timestamp = {2023-10-05T04:55:48.000+0200}, title = {Early prediction and longitudinal modeling of preeclampsia from multiomics}, volume = 3, year = 2022 }