Idit Kosti on Muck Rack

Idit Kosti

As seen in: Cell Reports Medicine
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Articles

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

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By Jonathan Golob, Tomiko Oskotsky, Alice S. Tang, Alennie Roldan, Verena Chung, Connie W.Y. Ha, Ronald Wong, Kaitlin Flynn, Rong Chai, Antonio Parraga-Leo, Camilla Wibrand, Samuel S Minot, Boris Oskotsky, Gaia Andreoletti, Amber Nelson, Jifan Gao, Zhoujingpeng Wei, Guanhua Chen, Zheng-Zheng Tang, Pierfrancesco Novielli, Donato Romano, Ester Pantaleo, Nicola Amoroso, Alfonso Monaco, Mirco Vacca, Maria De Angelis, Roberto Bellotti, Sabina Tangaro, Zehua Wang, Jiaming Yao, Akhil Goel, Huiqian Wang, YuCi Zhang, Ambuj Tewari, Isaac Bigcraft, Stephen M. Techtmann, EunYoung Kim, Eunyoung Kim, Jongbum Jeon, Soobok Joe, Kevin R. Theis, Sherrianne Ng, Patricia Diaz-Gimeno, Phillip Bennett, David MacIntyre, Gustavo Stolovitzky, Susan Lynch, Nardhy Gomez-Lopez, Roberto Romero, David Stevenson, Nima Aghaeepour, Adi L Tarca, James Costello, Marina Sirota, Claire Dubin, Idit Kosti, Julie Bletz, Jiangyue Mao, Abigail Kuntzleman, Daehun Bae, Jake Albrecht
| Cell Reports Medicine Verified
Main text (Cell Reports Medicine 5, 101350; January 16, 2024) In the originally published version of this article, 12 individuals were inadvertently represented in both the training dataset as well as the validation dataset for evaluating the models (different samples, but still a potential source of data leakage). The authors have updated their validation dataset (specifically, Project S) to exclude these 12 individuals and their samples (https://www.immport.org/shared/study/SDY2187).
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