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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Claim

Processing single-cell RNA-seq datasets using SingCellaR

Research datakeyboard_double_arrow_right Dataset 30 Jan 2022Publisher:Zenodo
Authors: Wang, Guanlin; Wen, Wei Xiong; Mead, Adam; Anindita Roy; Psaila, Bethan; Supat Thongjuea;

doi: 10.5281/zenodo.5879071 , 10.5281/zenodo.5513770

Processing single-cell RNA-seq datasets using SingCellaR

Abstract

cellranger_output.zip : Zipped files for cellranger output Code.zip: This contains the code for Step2-7 Human_genesets.zip: This includes the geneset signatures (.gmt) files we used in the protocol and original study (Roy et al, 2021) Human_HSPC_All.SingCellaR.rdata: The SingCellaR objects generated in Step 4 on a local computer ABM_1.SingCellaR.rdata: The SingCellaR objects generated in Step 3 on a local computer eFL_All.SingCellaR.rdata: The SingCellaR objects generated in Step 3 on a local computer FBM_All.SingCellaR.rdata: The SingCellaR objects generated in Step 3 on a local computer FL_All.SingCellaR.rdata: The SingCellaR objects generated in Step 3 on a local computer PBM_All.SingCellaR.rdata: The SingCellaR objects generated in Step 3 on a local computer meta.data.txt: meta data includes the donor and batch information

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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