Machine Learning-Based Integrated Analysis of PANoptosis Patterns in Acute Myeloid Leukemia Reveals a Signature Predicting Survival and Immunotherapy
Objective. We conducted a meticulous bioinformatics analysis leveraging expression data of 226 PANRGs obtained from previous studies, as well as clinical data from AML patients derived from the HOVON database. Methods. Through meticulous data analysis and manipulation, we were able to categorize AML...
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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2024-01-01
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Series: | International Journal of Clinical Practice |
Online Access: | http://dx.doi.org/10.1155/2024/5113990 |
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