A sophisticated framework for bidirectional cross-modality translation between scRNA-seq and scDNAm profiles with broad biological applicability. We show that scBOND accurately translates data while preserving biologically significant differences between closely related cell types. It also recovers functional and tissue-specific signals in the human brain and reveals stage-specific and cell type-specific transcriptional-epigenetic mechanisms in the oligodendrocyte lineage.
Metadata
Release files for scBond 1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| scbond-1.0.tar.gz | 28.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scbond-1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 57.4 kB
Release files / scbond-1.0.tar.gz
| Download URL | scbond-1.0.tar.gz |
|---|---|
| Size | 28.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.9.19
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Release files / scbond-1.0-py3-none-any.whl
| Download URL | scbond-1.0-py3-none-any.whl |
|---|---|
| Size | 28.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
088fa9795b683ae806b41a80b868e9985e132ccc73a6ce0f1b9118592a8ba0a3
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BLAKE2b-256 checksum How to use checksums |
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No |
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twine/6.1.0 CPython/3.9.19
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