遇见数据集

Data for dynDeepDRIM evaluation

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Zenodo2022-06-24 更新2026-05-25 收录
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The data is for evaluating dynDeepDRIM https://github.com/yuxu-1/dynDeepDRIM and repeating the experiment in the related manuscript. The raw time-course single-cell RNA-seq data are from Gene Expression Omnibus (GEO) and ArrayExpress. Accession numbers: GSE79578 (mESC1), GSE65525 (mESC2), E-MTAB-3929 (hESC1), GSE75748(hESC2), GSE104158 (Mouse brain cortex). The simulation datasets (sim1, sim2, sim3, and sim4) were generated by dyngen, a scRNA-seq data simulator. These gene expression datasets were normalized by sctransform, a scRNA-seq data normalization tool based on negative binomial regression.

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Zenodo
创建时间:
2021-08-30
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