DESC is an unsupervised deep learning algorithm for clustering scRNA-seq data. The algorithm constructs a non-linear mapping function from the original scRNA-seq data space to a low-dimensional feature space by iteratively learning cluster-specific gene expression representation and cluster assignment based on a deep neural network. This iterative procedure moves each cell to its nearest cluster, balances biological and technical differences between clusters, and reduces the influence of batch effect. DESC also enables soft clustering by assigning cluster-specific probabilities to each cell, which facilitates the identification of cells clustered with high-confidence and interpretation of results.
Release files for desc 2.1.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| desc-2.1.1.tar.gz | 4.7 MB | Without provenance | Details for desc-2.1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| desc-2.1.1-py3-none-any.whl | Python 3 | none | any | Details for desc-2.1.1-py3-none-any.whl |
Total release size: 9.9 MB
Release files / desc-2.1.1.tar.gz
| Download URL | desc-2.1.1.tar.gz |
|---|---|
| Size | 4.7 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.8
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Release files / desc-2.1.1-py3-none-any.whl
| Download URL | desc-2.1.1-py3-none-any.whl |
|---|---|
| Size | 5.1 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.8
|
Security for desc 2.1.1
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