Published April 26, 2025
| Version v1
Dataset
Open
Robust self-supervised machine learning for single cell embeddings and annotations
Authors/Creators
Description
The collection of files here are examples of synthetic and real-world datasets that accompany the manuscript: Yeh et al. Robust self-supervised machine learning for single cell embeddings and annotations. bioRxiv. (2025). (https://www.biorxiv.org/content/10.1101/2025.06.05.658097v1). This version of the data is created for the purposes of peer review. New versions may be available once the study is published.
Files
Files
(19.7 MB)
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md5:79101c9d1d34d727bf57738ca88c8ebd
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2.6 MB | Download |
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md5:2d98cfc0135be13e11246367dc609d54
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53.3 kB | Download |
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md5:7db9358c7ff966d4993fa9f965a8f48b
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4.3 MB | Download |
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md5:062be47543198342a6d75b2a38ef2f20
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72.5 kB | Download |
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md5:4f210336d3555cd90cd6131b274c4fa3
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451 Bytes | Download |
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md5:83961a7b6aed980a59992d1bcf86f85c
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7.0 kB | Download |
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md5:533d850b5a237496884c948832c455c4
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170.5 kB | Download |
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md5:af6020be34978ab3d90f63de53388bd1
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4.0 MB | Download |
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md5:2da167b1c55d7859c48da573afd12089
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116.5 kB | Download |
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md5:0e23e3b1255ad9dd2a15f6daeaf00434
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8.4 MB | Download |