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SingleCellNet: A Computational Tool to Classify Single Cell RNA-Seq Data Across Platforms and Across Species
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“To filter extremely low-quality or damaged cells, we kept cells with over 200 genes expressed (i.e., expression vector with non-zero value count > 200) for pre-training by using the Seurat 61 and Scanpy 62 packages.”
From Large-scale foundation model on single-cell transcriptomics (2024) · cites this paper as [62]
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ACTINN: automated identification of cell types in single cell RNA sequencing
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Metadata
- Authors
- Tan, Y., & Cahan, P.
- Venue
- Cell Systems
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 9
- Issue
- 2
- Pages
- 207-213.e2
- ISSN
- 2405-4712
- PMC
- PMC6715530
- Cited by
- 368
- References
- 11
- Language
- en
- Licence
- Funders
- National Institutes of Health
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