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Microbiome preterm birth DREAM challenge: crowdsourcing machine learning approaches to advance preterm birth research.
| Publication available at: | https://www.medrxiv.org/content/10.1101/2023.03.07.23286920v1 |
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| Title: | Microbiome preterm birth DREAM challenge: crowdsourcing machine learning approaches to advance preterm birth research. |
| Authors: | Golob, JL Oskotsky, TT Tang, AS Roldan, A Chung, V Ha, CWY Wong, RJ Flynn, KJ Parraga-Leo, A Wibrand, C Minot, SS Andreoletti, G Kosti, I Bletz, J Nelson, A Gao, J Wei, Z Chen, G Tang, Z-Z Novielli, P Romano, D Pantaleo, E Amoroso, N Monaco, A Vacca, M De Angelis, M Bellotti, R Tangaro, S Kuntzleman, A Bigcraft, I Techtmann, S Bae, D Kim, E Jeon, J Joe, S Preterm Birth DREAM Community Theis, KR Ng, S Lee Li, YS Diaz-Gimeno, P Bennett, PR MacIntyre, DA Stolovitzky, G Lynch, SV Albrecht, J Gomez-Lopez, N Romero, R Stevenson, DK Aghaeepour, N Tarca, AL Costello, JC Sirota, M |
| Item Type: | Preprint |
| Issue Date: | 11-Apr-2023 |
| URI: | http://hdl.handle.net/10044/1/103456 |
| DOI: | 10.1101/2023.03.07.23286920 |
| Journal / Book Title: | Cold Spring Harbor Laboratory |
| Copyright Statement: | © 2023 The Author(s). It is made available under a CC-BY-NC-ND 4.0 International license. |
| Sponsor/Funder: | March of Dimes |
| Funder's Grant Number: | #22-FY22-0001 (P76171 - YR 5) |
| Open Access location: | https://www.medrxiv.org/content/10.1101/2023.03.07.23286920v1 |
| Appears in Collections: | Department of Metabolism, Digestion and Reproduction |
This item is licensed under a Creative Commons License
