Machine learning analysis of gene expression reveals TP53 Mutant-like AML with wild type TP53 and poor prognosis

Yoonkyu Lee; Linda B. Baughn; Chad L. Myers; Zohar Sachs

doi:10.1038/s41408-024-01061-3

Machine learning analysis of gene expression reveals TP53 Mutant-like AML with wild type TP53 and poor prognosis

Yoonkyu Lee, Linda B. Baughn, Chad L. Myers, Zohar Sachs

Research output: Contribution to journal › Letter › peer-review

Original language	English (US)
Article number	80
Journal	Blood cancer journal
Volume	14
Issue number	1
DOIs	https://doi.org/10.1038/s41408-024-01061-3
State	Published - Dec 2024

PubMed: MeSH publication types

Letter
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural

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10.1038/s41408-024-01061-3

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title = "Machine learning analysis of gene expression reveals TP53 Mutant-like AML with wild type TP53 and poor prognosis",

author = "Yoonkyu Lee and Baughn, {Linda B.} and Myers, {Chad L.} and Zohar Sachs",

year = "2024",

month = dec,

doi = "10.1038/s41408-024-01061-3",

language = "English (US)",

volume = "14",

journal = "Blood cancer journal",

issn = "2044-5385",

publisher = "Springer Nature",

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AU - Lee, Yoonkyu

AU - Baughn, Linda B.

AU - Myers, Chad L.

AU - Sachs, Zohar

PY - 2024/12

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AN - SCOPUS:85193001006

SN - 2044-5385

VL - 14

JO - Blood cancer journal

JF - Blood cancer journal

IS - 1

M1 - 80

ER -

Machine learning analysis of gene expression reveals TP53 Mutant-like AML with wild type TP53 and poor prognosis

PubMed: MeSH publication types

UN SDGs

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