State-Transition Analysis of Time-Sequential Gene Expression Identifies Critical Points That Predict Development of Acute Myeloid Leukemia
Open Access
- 15 May 2020
- journal article
- research article
- Published by American Association for Cancer Research (AACR) in Cancer Research
- Vol. 80 (15), 3157-3169
- https://doi.org/10.1158/0008-5472.can-20-0354
Abstract
These findings apply the theory of state transitions to model the initiation and development of acute myeloid leukemia, identifying transcriptomic perturbations that accurately predict time to disease development.Other Versions
Funding Information
- NIH (R01CA178387)
- NIH (R01CA205247)
- NIH (U01CA25004467)
- NIH (P30CA33572)
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