Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research-Reference-Cited by-同舟云学术

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

Published:2024-01 Issue:1 Volume:5 Page:101350
ISSN:2666-3791
Container-title:Cell Reports Medicine
language:en
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

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology

Reference82 articles.

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