In Silico Methods for the Identification of Diagnostic and Favorable Prognostic Markers in Acute Myeloid Leukemia

In Silico Methods for the Identification of Diagnostic and Favorable Prognostic Markers in Acute Myeloid Leukemia

Acute myeloid leukemia (AML), the most common type of acute leukemia in adults, is mainly asymptomatic at early stages and progresses/recurs rapidly and frequently. These attributes necessitate the identification of biomarkers for timely diagnosis and accurate prognosis. In this study, differential...

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Bibliographic Details
Main Authors: Hande Yılmaz, Halil Ibrahim Toy, Stephan Marquardt, Gökhan Karakülah, Can Küçük, Panagiota I. Kontou, Stella Logotheti, Athanasia Pavlopoulou
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:International Journal of Molecular Sciences
Subjects:
acute myeloid leukemia
transcriptomics
clinical traits
bioinformatics
long-term survivors
minimal residual disease
Online Access:https://www.mdpi.com/1422-0067/22/17/9601

Internet

https://www.mdpi.com/1422-0067/22/17/9601

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