tensorsignatures 0.3.0

Tensorframework for mutational signature analysis.

Tensorsignatures

TensorSignatures is a tensor factorization framework for mutational signature analysis, which in contrast to other methods, deciphers mutational processes not only in terms of mutational spectra, but also assess their properties with respect to various genomic variables.

Quick install

To install tensorsignatures simply type

into your shell. To get started with tensorsignatures please refer to the documentation.

• Free software: MIT license

• Documentation: https://tensorsignatures.readthedocs.io.

Features

• Run tensorsignatures on your dataset using the TensorSignature class provided by thepackage or via the command line tool.

• Compute percentile based bootstrap confidence intervals for inferred parameters.

• Basic plotting tools to visualize tensor signatures and inferred parameters

Credits

• Harald Vohringer and Moritz Gerstung

History

0.3.0 (2019-10-03)

• various fixes

• design changes

• fixed setup.py

0.1.0 (2019-08-21)

• First release on PyPI.