Titlebook: Computational Methods in Systems Biology; 21st International C Jun Pang,Joachim Niehren Conference proceedings 2023 The Editor(s) (if appli

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書目名稱Computational Methods in Systems Biology影響因子(影響力)




書目名稱Computational Methods in Systems Biology影響因子(影響力)學(xué)科排名




書目名稱Computational Methods in Systems Biology網(wǎng)絡(luò)公開度




書目名稱Computational Methods in Systems Biology網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Methods in Systems Biology被引頻次




書目名稱Computational Methods in Systems Biology被引頻次學(xué)科排名




書目名稱Computational Methods in Systems Biology年度引用




書目名稱Computational Methods in Systems Biology年度引用學(xué)科排名




書目名稱Computational Methods in Systems Biology讀者反饋




書目名稱Computational Methods in Systems Biology讀者反饋學(xué)科排名

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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 be

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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.

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