A universal approach for integrating super large-scale single-cell transcriptomes by exploring gene rankings

Research article (Briefings in Bioinformatics, 2021) · cited 13× · AI/ML
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A universal approach for integrating super large-scale single-cell transcriptomes by exploring gene rankings

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A universal approach for integrating super large-scale single-cell transcriptomes by exploring gene rankings is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A universal approach for integrating super large-scale single-cell transcriptomes by exploring gene rankings. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-universal-approach-for-integrating-super-large-scale-single-cell-transcriptomes-by-exploring-gene-rankings
MLA “A universal approach for integrating super large-scale single-cell transcriptomes by exploring gene rankings.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-universal-approach-for-integrating-super-large-scale-single-cell-transcriptomes-by-exploring-gene-rankings.
BibTeX @misc{4ortxyz_a-universal-approach-for-integrating-super-large-scale-single-cell-transcriptomes-by-exploring-gene-rankings_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A universal approach for integrating super large-scale single-cell transcriptomes by exploring gene rankings}}, year = {2026}, url = {https://4ort.xyz/entity/a-universal-approach-for-integrating-super-large-scale-single-cell-transcriptomes-by-exploring-gene-rankings}, note = {Accessed: 2026-05-24}}
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