Robust predictors for drug response of patients with acute myeloid leukemia

Bahar Tercan

doi:10.1371/journal.pone.0343422

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Open Access

Peer-reviewed

Research Article

Robust predictors for drug response of patients with acute myeloid leukemia

Bahar Tercan

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: bahar.tercan@isbscience.org

Affiliation Institute for Systems Biology, Seattle, Washington, United States of America

https://orcid.org/0000-0002-5332-264X

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Robust predictors for drug response of patients with acute myeloid leukemia

Bahar Tercan

Published: February 23, 2026
https://doi.org/10.1371/journal.pone.0343422

About the Authors

Bahar Tercan

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: bahar.tercan@isbscience.org

Affiliation Institute for Systems Biology, Seattle, Washington, United States of America

https://orcid.org/0000-0002-5332-264X

Competing Interests

The authors have declared that no competing interests exist.

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Acute myeloid leukemia
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Gene expression
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Machine learning
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Cancer treatment
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cDNA libraries
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Drug research and development
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RNA sequencing
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Support vector machines
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