Add-on for bioinformatics analysis of single cell data.

These details have been verified by PyPI

These details have not been verified by PyPI

Project description

Orange3 Single Cell

The Single Cell add-on for Orange3 adds functionality for analysis of single cell data.

To install the add-on, run

pip install .

To register this add-on with Orange, but keep the code in the development directory (do not copy it to Python's site-packages directory), run

pip install -e .

Documentation / widget help can be built by running

make html htmlhelp

from the doc directory.

After the installation, the widget from this add-on is registered with Orange. To run Orange from the terminal, use

python -m Orange.canvas

The new widget appears in the toolbox bar under the section Single Cell.

Algorithm	Hash digest
SHA256	`e2757418999ff3569a89e6c4d2c6cdd825b3f374a069f6a5f220c3904db57342`
MD5	`bbc518ef37cc1f84f822ce59632cd40e`
BLAKE2b-256	`632cb7fdb135fac07456a3d16e84d977faf6b8a10e5535eae2b72076e69e13cf`

Algorithm	Hash digest
SHA256	`35c1d357dc17b5dfc75411f43e1da47763253f1286d9444894133c6cd3b4f405`
MD5	`decdbe07539127eeb0c04c3e6ba7f5b2`
BLAKE2b-256	`1f187f0dca3edcb871e3df638818baca2dd57ee6001c56bd6c73f697074afba3`