State-transition analysis of time-sequential gene expression identifies critical points that predict development of acute myeloid leukemia

Temporal dynamics of gene expression inform cellular and molecular perturbations associated with disease development and evolution. Given the complexity of high-dimensional temporal genomic data, an analytical framework guided by a robust theory is needed to interpret time-sequential changes and to...

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Publicado en:Cancer Res
Main Authors: Rockne, Russell C., Branciamore, Sergio, Qi, Jing, Frankhouser, David E., O’Meally, Denis, Hua, Wei-Kai, Cook, Guerry, Carnahan, Emily, Zhang, Lianjun, Marom, Ayelet, Wu, Herman, Maestrini, Davide, Wu, Xiwei, Yuan, Yate-Ching, Liu, Zheng, Wang, Leo D., Forman, Stephen, Carlesso, Nadia, Kuo, Ya-Huei, Marcucci, Guido
Formato: Artigo
Idioma:Inglês
Publicado: 2020
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7416495/
https://ncbi.nlm.nih.gov/pubmed/32414754
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1158/0008-5472.CAN-20-0354
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