Minimalistic Transcriptomic Signatures Permit Accurate Early Prediction of COVID-19 Mortality
极简转录组特征可实现对新冠肺炎死亡率的准确早期预测
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doi:10.1101/2025.05.18.25327658
Narendra, Rithwik; Lydon, Emily C; Van Phan, Hoang; Spottiswoode, Natasha; Neyton, Lucile P; Diray-Arce, Joann; Becker, Patrice M; Kim-Schulze, Seunghee; Hoch, Annmarie; Pickering, Harry; van Zalm, Patrick; Cairns, Charles B; Altman, Matthew C; Augustine, Alison D; Bosinger, Steve; Eckalbar, Walter; Guan, Leying; Jayavelu, Naresh Doni; Kleinstein, Steven H; Krammer, Florian; Maecker, Holden T; Ozonoff, Al; Peters, Bjoern; Rouphael, Nadine; Montgomery, Ruth R; Reed, Elaine; Schaenman, Joanna; Steen, Hanno; Levy, Ofer; Carillo, Sidney A; Erle, David; Hendrickson, Carolyn M; Krummel, Matthew F; Matthay, Michael A; Woodruff, Prescott; Haddad, Elias K; Calfee, Carolyn S; Langelier, Charles R