sPGGM: a sample-perturbed Gaussian graphical model for identifying pre-disease stages and signaling molecules of disease progression
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Complex disease progression typically involves sudden and non-linear transitions accompanied by devastating effects. Uncovering such critical states or pre-disease stages and discovering dynamic network biomarkers (signaling molecules) is vital for both compre... ...
