FAULT 发表于 2025-3-21 19:58:57
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,Cell-Level Pathway Scoring Comparison with a Biologically Constrained Variational Autoencoder, learned by the model as proxies of the signaling activity at the single-cell level. We check the performance of the scoring model using a known scRNA-seq public dataset with a clearly established ground truth. Although both models capture the relevant signals, the most pronounced differences are becarotenoids 发表于 2025-3-22 03:07:29
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,Harissa: Stochastic Simulation and Inference of Gene Regulatory Networks Based on Transcriptional Bin this context. Therefore, Harissa can be used both as an inference tool, to reconstruct biologically relevant networks from time-course scRNA-seq data, and as a simulation tool, to generate quantitative gene expression profiles in a non-trivial way through gene interactions.充满装饰 发表于 2025-3-22 10:42:02
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