- Note:
Developed and tested for Python 2.7, 3.5, 3.6
- Note:
The GDSCTools libary works for Python 2.7 and 3.X but the standalone pipeline to be ran on cluster works on Python 3.X only (requires Snakemake).
- Contributions:
Please join https://github.com/CancerRxGene/gdsctools project
- Documentation:
- GitHub:
Overview
Genomics of Drug Sensitivity in Cancer (GDSC) tools including pipelines related to http://www.cancerrxgene.org/
Installation
pip install gdsctools
For beginners, please visit the main documentation Installation section.
QuickStart
You will need 2 input matrices:
an IC50 matrix with COSMIC identifiers as rows and drugs as columns,
a genomic feature matrix with COSMIC identifiers as rows and features as columns.
Then, you can analyse the data with the standalone application:
gdsctools_anova --input-ic50 ic50.txt --input-features features.txt
or as a script:
from gdsctools import anova, ic50_test an = ANOVA(ic50_test, features_filename) # second arg is optional an.anova_all()
More examples are provided in the documentation on ReadThedoc.
Note that first versions (ANOVA analysis) were based on https://github.com/francescojm/FI.GDSC.ANOVA repository. New tools have been added (regression based on Ridge, Lasso, OmniBEM tool, …).
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Metadata
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Release files for gdsctools 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gdsctools-1.0.1.tar.gz | 4.7 MB | Details |
Release files / gdsctools-1.0.1.tar.gz
| Download URL | gdsctools-1.0.1.tar.gz |
|---|---|
| Size | 4.7 MB |
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