Supplementary Methods from State-Transition Analysis of Time-Sequential Gene Expression Identifies Critical Points That Predict Development of Acute Myeloid Leukemia
Year: 2023
Type: supplementary-materials
Abstract: In this supplement we provide additional data and methods to support our results. In particular, we show: details of our mouse model of AML; demonstrate the robustness of our state-space construction to normalization methods and gene selection criteria; compare dimension reduction methods; show bootstrap cross-validation of our predictions; compare hierarchical clustering with our state-space approach; and finally, provide full lists of differentially expressed genes and gene ontology (GO) term enrichment.
Authors: Russell C. Rockne, Sergio Branciamore, Jing Qi, David E. Frankhouser, Denis O'Meally, Wei-Kai Hua, Guerry Cook, Emily Carnahan, Lianjun Zhang, Ayelet Marom, Herman Wu, Davide Maestrini, Xiwei Wu, Yate-Ching Yuan, Zheng Liu, Leo D. Wang, Stephen Forman, Nadia Carlesso, Ya-Huei Kuo, Guido Marcucci
Language: English
Subfield: Hematology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W4361820876