DEAPLOG(Differentially Expression Analysis and Pseudotemporal Locating and Ordering of Gene by Single-cell RNA-seq data)
DEAPLOG is a tool to perform differentially expression analysis for cell clusters and other conditions, calculate the pseudotime of genes and profile genes coordinates accoding to the embedding coordinates of cells.
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Release files for deaplog 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| deaplog-1.1.0.tar.gz | 7.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| deaplog-1.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.9 kB
Release files / deaplog-1.1.0.tar.gz
| Download URL | deaplog-1.1.0.tar.gz |
|---|---|
| Size | 7.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.7.4
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Release files / deaplog-1.1.0-py3-none-any.whl
| Download URL | deaplog-1.1.0-py3-none-any.whl |
|---|---|
| Size | 8.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
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twine/4.0.2 CPython/3.7.4
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