2023-05-25 · article · Single-cell and spatial transcriptomics · en
highly citedClaims drawn from cited facts, not live model generation.
This paper is a published article on single-cell and spatial transcriptomics. Because it is an article rather than a preprint, its findings should be weighted as having passed peer review.
4 cited facts
The work is the product of a small team of 3 researchers.
1 cited fact
With a citation count of 5,489, the work is highly cited and therefore reads as an already established reference point in its field. It references 126 works, indicating the breadth of its scholarly grounding.
3 cited facts
Dictionary learning for integrative, multimodal and scalable single-cell analysis is an article, focusing on Single-cell and spatial transcriptomics, published in 2023.
Dictionary learning for integrative, multimodal and scalable single-cell analysis has 5,489 citations in our record, placing it among the highly cited works we track.
Our record lists 3 authors for Dictionary learning for integrative, multimodal and scalable single-cell analysis and references 126 other works. Author names aren't in our data yet — the source link on the page lists the full byline.
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