Skip to main content

Dirichlet allocation of mutations in cancer genomes

Project description

DAMUTA

Dirichlet allocation of mutations in cancer

Documentation Status

image

install

DAMUTA is built on pymc3 - which depends on theano. To use theano with gpu, you will need to install pygpu. The simplest way to do so is via conda.

conda create -n damuta -c conda-forge python=3.8 pygpu=0.7.6

from pipy

DAMUTA is available on pipy test server

from github

Clone this repo git clone https://github.com/morrislab/damuta Install requirements pip install -r damuta/requirements.txt Install damuta pip install -e damuta

theanorc

To use the GPU, ~/.theanorc should contain the following:

[global]
floatX = float64
device = cuda

Otherwise, device will default to CPU.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

damuta-0.1.2.tar.gz (3.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

damuta-0.1.2-py3-none-any.whl (2.6 kB view details)

Uploaded Python 3

File details

Details for the file damuta-0.1.2.tar.gz.

File metadata

  • Download URL: damuta-0.1.2.tar.gz
  • Upload date:
  • Size: 3.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.20

File hashes

Hashes for damuta-0.1.2.tar.gz
Algorithm Hash digest
SHA256 dc7ba5fb22303c6e0d9b5ce19f43df4be4938ed0349aaf4c803cc3b463593233
MD5 322c4e9553fb5c29024b58b3f1095c66
BLAKE2b-256 6e408a64cc9415fd22eb632fc71bfac7c227fd1978dc7082dfffb7bfba496655

See more details on using hashes here.

File details

Details for the file damuta-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: damuta-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 2.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.20

File hashes

Hashes for damuta-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 c646033934f989c234dbd27884b3ede1d00479183b64e58c46965d9eeda7768d
MD5 9c480ea09e174ac5aa460223d6cbaa49
BLAKE2b-256 e6aaf689f3451b85e3463a927f2c0b8621520c96dc2920bfdc389f1192c0a7ee

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page