Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research
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Published:2024-01
Issue:1
Volume:5
Page:101350
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ISSN:2666-3791
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Container-title:Cell Reports Medicine
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language:en
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Short-container-title:Cell Reports Medicine
Author:
Golob Jonathan L.ORCID, 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
Subject
General Biochemistry, Genetics and Molecular Biology
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