Back
High-Spatial-Resolution Multi-Omics Atlas Sequencing of Mouse Embryos via Deterministic Barcoding in Tissue
Liu, Y.; Yang, M.; Deng, Y.; Su, G.; Archibald Enninful, A.; Guo, C. C.; Tebaldi, T.; Zhang, D.; Kim, D.; Bai, Z.; Norris, E.; Pan, A.; Li, J.; Xiao, Y.; Halene, S.; Fan, R.
2020-08-01
genomics
10.1101/2020.08.01.232496
bioRxiv
Show abstract
This manuscript has been withdrawn due to a duplicate posting on our website. Please visit DOI: 10.1101/788992 to access the current version of this preprint on bioRxiv.
Matching journals
●Non-profit
◐University press
○Commercial
The top 3 journals account for 50% of the predicted probability mass.
1
Cell
○
431 papers in training set
Top 0.1%
25.9%
Similar papers in this journal
- High-Spatial-Resolution Multi-Omics Atlas Sequencing of Mouse Embryos via Deterministic Barcoding in Tissue 100%
- Seq-Scope: Submicrometer-resolution spatial transcriptomics for single cell and subcellular studies 96%
- Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball patterned arrays 96%
3
Nature Methods
○
385 papers in training set
Top 1%
9.6%
Similar papers in this journal
50% of probability mass above
5
Science Advances
●
1243 papers in training set
Top 9%
3.4%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.