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Peng2019 PRJCA001063 Pancreatic Ductal Adenocarcinoma Dataset for Besca

Name: Peng2019 PRJCA001063 Pancreatic Ductal Adenocarcinoma Dataset for Besca
Creator: Schwalie, Petra
Keywords: 3. Good health

Research datakeyboard_double_arrow_right Dataset 01 Aug 2020Publisher:Zenodo

Authors: Schwalie, Petra;

doi: 10.5281/zenodo.3969339 , 10.5281/zenodo.3969338

Peng2019 PRJCA001063 Pancreatic Ductal Adenocarcinoma Dataset for Besca

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Abstract

The gene expression matrix was downloaded from BIGD-BioProject (https://bigd.big.ac.cn/bioproject/browse/PRJCA001063), originally published by Peng J, Sun BF, Chen CY, et al. Single-cell RNA-seq highlights intra-tumoral heterogeneity and malignant progression in pancreatic ductal adenocarcinoma [published correction appears in Cell Res. 2019 Aug 13;:]. Cell Res. 2019;29(9):725-738. doi:10.1038/s41422-019-0195-y. We reprocessed the dataset using the Besca package (https://github.com/bedapub/besca).

{"references": ["Peng J, Sun BF, Chen CY, et al. Single-cell RNA-seq highlights intra-tumoral heterogeneity and malignant progression in pancreatic ductal adenocarcinoma [published correction appears in Cell Res. 2019 Aug 13;:]. Cell Res. 2019;29(9):725-738. doi:10.1038/s41422-019-0195-y"]}

Related Organizations

Roche (Switzerland)
Switzerland

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
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	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average