Machine learning-driven identification of the gene-expression signature associated with a persistent multiple organ dysfunction trajectory in critical illness

التفاصيل البيبلوغرافية
العنوان:	Machine learning-driven identification of the gene-expression signature associated with a persistent multiple organ dysfunction trajectory in critical illness
المؤلفون:	Atreya, Mihir R., Banerjee, Shayantan, Lautz, Andrew J., Alder, Matthew N., Varisco, Brian M., Wong, Hector R., Muszynski, Jennifer A., Hall, Mark W., Sanchez-Pinto, L. Nelson, Kamaleswaran, Rishikesan, Cvijanovich, Natalie Z., Fitzgerald, Julie C., Weiss, Scott L., Bigham, Michael T., Jain, Parag N., Schwarz, Adam J., Lutfi, Riad, Nowak, Jeffrey, Allen, Geoffrey L., Thomas, Neal J., Grunwell, Jocelyn R., Baines, Torrey, Quasney, Michael, Haileselassie, Bereketeab, Lindsell, Chris J.
المساهمون:	National Institutes of Health, NIGMS
المصدر:	eBioMedicine ; volume 99, page 104938 ; ISSN 2352-3964
بيانات النشر:	Elsevier BV
سنة النشر:	2024
المجموعة:	ScienceDirect (Elsevier - Open Access Articles via Crossref)
نوع الوثيقة:	article in journal/newspaper
اللغة:	English
DOI:	10.1016/j.ebiom.2023.104938
الإتاحة:	https://doi.org/10.1016/j.ebiom.2023.104938Test https://api.elsevier.com/content/article/PII:S2352396423005042?httpAccept=text/xmlTest https://api.elsevier.com/content/article/PII:S2352396423005042?httpAccept=text/plainTest
حقوق:	https://www.elsevier.com/tdm/userlicense/1.0Test/ ; http://creativecommons.org/licenses/by-nc-nd/4.0Test/
رقم الانضمام:	edsbas.6909BE8C
قاعدة البيانات:	BASE

الوصف
DOI:	10.1016/j.ebiom.2023.104938