New machine learning model describes dynamics of cell development

In order to address this problem, researchers at the Helmholtz Zentrum München and the University of Massachusetts use pseudodynamics, a mathematical model that estimates developmental processes from single-cell time series observations. Their report has been published in Nature Biotechnology.

In their nucleus, stem cells carry the DNA that is the blueprint for any organ or tissue. They are thus able to give rise to various cell types, such as skin cells or blood-forming cells. Depending on their type, the newly created cells perform specific tasks in the body. They proliferate, mature, age and finally die through apoptosis

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