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Fig. 8 | Orphanet Journal of Rare Diseases

Fig. 8

From: DeepNEU: cellular reprogramming comes of age – a machine learning platform with application to rare diseases research

Fig. 8

Expression profile of RETT neuron by aiNSC. Unsupervised aiNSC model was programmed with the gene MeCP2 locked off to simulated RETT syndrome. The model converged after 18 iterations to generate RETT neuron as reported in [26]. Specifically, BDNF, FKBP5, IGF2, DLX5, DLX6, SGK1, MPP1, GAMT and FXYD were upregulated, while genes UBE3A and GRID1/GluD1 were both downregulated. (N = 11, p = 0.01). Data are representative of three independent simulation experiments; error bars indicate ± SEM

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