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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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CAbiNet: Joint visualization of cells and genes based on a gene-cell graph

Authors: Zhao, Yan; Kohl, Clemens; Vingron, Martin;

CAbiNet: Joint visualization of cells and genes based on a gene-cell graph

Abstract

We here provide the data sets to reproduce the results in our manuscript 'CAbiNet: Joint visualization of cells and genes based on a gene-cell association graph'. The code to reproduce our analysis with the data sets provided here can be found at: https://github.com/VingronLab/CAbiNet_paper. You can find three types of data here: raw data, preprocessed data, and benchmarking results. Tips for downloading the data: - If you want to reproduce all the results in our paper from the beginning to the end, please download the rawdata.zip and disscussed_data.zip . Then you can go through our codes. - If you only want to reproduce the figures shown in the paper, please download the discussed_data.zip and benchmarking.zip.

Keywords

Benchmarking, Biclustering, biMAP, Joint visualization of cells and genes

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average