PAST software is build on a variational graph convolutional auto-encoder designed for spatial transcriptomics which integrates prior information with Bayesian neural network, captures spatial information with self-attention mechanism and enables scalable application with ripple walk sampler strategy. PAST could effectively characterize spatial domains and facilitate various downstream analysis through integrating spatial information and reference from various sources. Besides, PAST also enable time and memory-efficient application on large datasets while preserving global spatial patterns for better performance. Importantly, PAST could also facilitate accurate annotation of spatial domains and thus provide biological insights.
1 maintainer
Metadata
1 maintainer
Release files for bio-past 1.6.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| bio-past-1.6.3.tar.gz | 31.9 MB | Without provenance | Details for bio-past-1.6.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| bio_past-1.6.3-py3-none-any.whl | Python 3 | none | any | Details for bio_past-1.6.3-py3-none-any.whl |
Total release size: 32.0 MB
Release files / bio-past-1.6.3.tar.gz
| Download URL | bio-past-1.6.3.tar.gz |
|---|---|
| Size | 31.9 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
7674020e1f0df0fd83db544d6e7e4485ff8912b49877822a6dd322507c54fdd0
|
|
BLAKE2b-256 checksum How to use checksums |
b7f86e9e7bd13fdec8dbf044ef6b5ebdbcb5dcef3468fb2764421fc7966c4fe7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.12
|
Release files / bio_past-1.6.3-py3-none-any.whl
| Download URL | bio_past-1.6.3-py3-none-any.whl |
|---|---|
| Size | 16.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
10e1d0c71586c42bc49c121519ecd3c578c10b32ac4a8940a1c9b36d7cf7d4e6
|
|
BLAKE2b-256 checksum How to use checksums |
d330274b89c2342d3a49753d9382519c4e42ac439553c8241c6bd74683fb968e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.12
|
Security for bio-past 1.6.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
