Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research
- Resource Type
- Article
- Authors
- Golob, Jonathan L.; Oskotsky, Tomiko T.; Tang, Alice S.; Roldan, Alennie; Chung, Verena; Ha, Connie W.Y.; Wong, Ronald J.; Flynn, Kaitlin J.; Parraga-Leo, Antonio; Wibrand, Camilla; Minot, Samuel S.; Oskotsky, Boris; Andreoletti, Gaia; Kosti, Idit; Bletz, Julie; Nelson, Amber; Gao, Jifan; Wei, Zhoujingpeng; Chen, Guanhua; Tang, Zheng-Zheng; Novielli, Pierfrancesco; Romano, Donato; Pantaleo, Ester; Amoroso, Nicola; Monaco, Alfonso; Vacca, Mirco; De Angelis, Maria; Bellotti, Roberto; Tangaro, Sabina; Kuntzleman, Abigail; Bigcraft, Isaac; Techtmann, Stephen; Bae, Daehun; Kim, Eunyoung; Jeon, Jongbum; Joe, Soobok; Theis, Kevin R.; Ng, Sherrianne; Lee, Yun S.; Diaz-Gimeno, Patricia; Bennett, Phillip R.; MacIntyre, David A.; Stolovitzky, Gustavo; Lynch, Susan V.; Albrecht, Jake; Gomez-Lopez, Nardhy; Romero, Roberto; Stevenson, David K.; Aghaeepour, Nima; Tarca, Adi L.; Costello, James C.; Sirota, Marina
- Source
- In Cell Reports Medicine 16 January 2024 5(1)
- Subject
- Language
- ISSN
- 2666-3791