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

Blood Cancer J. 2024 May 14;14(1):80. doi: 10.1038/s41408-024-01061-3.

Yoonkyu Lee^{1

2

3}, Linda B Baughn⁴, Chad L Myers^{2

3

5}, Zohar Sachs^{6

7

8}

¹ Division of Hematology, Oncology and Transplantation, Department of Medicine, University of Minnesota, Minneapolis, MN, USA.
² Bioinformatics and Computational Biology Program, University of Minnesota, Minneapolis, MN, USA.
³ Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.
⁴ Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
⁵ Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA.
⁶ Division of Hematology, Oncology and Transplantation, Department of Medicine, University of Minnesota, Minneapolis, MN, USA. sachs038@umn.edu.
⁷ Bioinformatics and Computational Biology Program, University of Minnesota, Minneapolis, MN, USA. sachs038@umn.edu.
⁸ Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA. sachs038@umn.edu.

No abstract available

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