Using Targeted Transcriptome and Machine Learning of Pre- and Post-Transplant Bone Marrow Samples to Predict Acute Graft-versus-Host Disease and Overall Survival after Allogeneic Stem Cell Transplantation.

Autor: Rowley, Scott D.1,2 (AUTHOR) alexandra.dellapia@hmhn.org, Gunning, Thomas S.3 (AUTHOR) thomas.gunning@hmhn.org, Pelliccia, Michael3 (AUTHOR) michael.pelliccia@hmhn.org, Della Pia, Alexandra2 (AUTHOR) sukhdeep.kaur@hmhn.org, Lee, Albert3 (AUTHOR) albert.lee@hmhn.org, Behrmann, James3 (AUTHOR) james.behrmann@hmhn.org, Bangolo, Ayrton3 (AUTHOR) ayrton.bangolo@hmhn.org, Jandir, Parul3 (AUTHOR) parul.jandir@hmhn.org, Zhang, Hong4 (AUTHOR) hzhang@georgiasouthern.edu, Kaur, Sukhdeep2,3 (AUTHOR) michele.donato@hmhn.org, Suh, Hyung C.2,3 (AUTHOR), Donato, Michele2,3 (AUTHOR), Albitar, Maher4 (AUTHOR) malbitar@genomictestingcooperative.com, Ip, Andrew2,3 (AUTHOR)
Zdroj: Cancers. Apr2024, Vol. 16 Issue 7, p1357. 13p.
Databáze: Academic Search Ultimate
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