遇见数据集

Datasets for "Prediction of parsimonious and temporally-sensitive sets of cell fate engineering transcription factors with IMCell"

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Zenodo2026-06-05 更新2026-06-12 收录
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Transcriptomic datasets and synthetic network models supporting the CompForce/IMCell study. Includes two single-cell and three bulk mouse transcriptomic datasets, each with their cell-type-specific gene-regulatory networks, transcription-factor lists, and positive/negative gold-standard reprogramming cocktails; and synthetic Dyngen network models (net01–net15 used in the manuscript, per Supplementary Table 1: 5 bifurcating, 5 trifurcating, 5 consecutive bifurcating; net16–net20 included as additional, unanalyzed models). All files are R data objects (.rda). See the bundled README.md for a full file manifest.

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Zenodo
创建时间:
2026-06-05
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