Associated Papers
Transcriptome-based molecular subtypes and differentiation hierarchies improve the classification framework of acute myeloid leukemia.
Cheng WY et al.
Proceedings of the National Academy of Sciences of the United States of America, 2022
36442087 (PubMed )
Supplement: pnas.2211429119.sd02.xlsx › snv_indel
Genomic landscape of patients with FLT3-mutated acute myeloid leukemia (AML) treated within the CALGB 10603/RATIFY trial.
Jahn N et al.
Leukemia, 2022
35922444 (PubMed )
Supplement: 41375_2022_1650_MOESM2_ESM.xlsx › NGS_dataset
Distinct genomic landscape of Chinese pediatric acute myeloid leukemia impacts clinical risk classification.
Liu T et al.
Nature Communications, 2022
35347147 (PubMed )
Supplement: 41467_2022_29336_MOESM8_ESM.xlsx › Sheet1
Integrative Genomic Analysis of Pediatric Myeloid-Related Acute Leukemias Identifies Novel Subtypes and Prognostic Indicators.
Fornerod M et al.
Blood Cancer Discovery, 2021
34778799 (PubMed )
Supplement: bloodcandisc-2-586-s001.xlsx › Supplementary_Table_12
RNA sequencing as an alternative tool for detecting measurable residual disease in core-binding factor acute myeloid leukemia.
Kim T et al.
Scientific Reports, 2020
33208771 (PubMed )
Supplement: 41598_2020_76933_MOESM8_ESM.xlsx › TableS5
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