71ce29d8-7b35-4239-932b-13346d3dea8c - samples
收藏NIAID Data Ecosystem2026-03-13 收录
下载链接：
https://www.omicsdi.org/dataset/ega/EGAD00001008331
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资源简介：
To model recovery dynamics, using severe COVID-19 as the example, we align heterogeneous recovery trajectories via a novel computational scheme applied to longitudinally sampled blood transcriptomes. We thus generate pseudotime trajectories, which we then link to cellular and molecular mechanisms based on cell deconvolution analysis and molecular pathway prediction, thus presenting a unique framework for studying recovery processes over time.EGA dataset EGAD00001008331
创建时间：
2022-05-09
