Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research
Titel:
Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research
Auteur:
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