Skip to content

smollahlab/HOCMO

Repository files navigation

Higher-Order Correlation Model

Description:

A Generalized Higher-Order Correlation Model (HOCMO) tool to generate scores modeling the strength of the relationship among triplicate or quadruplet entities using a tensor-based approach

Prerequisites:

Developmental environment is provided via dockerfile. We also provide a requirements.txt if a local environment is preferred. Package is also available for installation on PyPi.

Installation:

pip install hocmo

Contribution:

License:

MIT License Copyright (c) 2018 Mollah Lab Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the right to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. “HOCMO: A Tensor-based Higher-Order Correlation Model to Deconvolute Epigenetic Microenvironment in Breast Cancer Charles Lu, Rintsen Sherpa, Liubou Klindziuk, Stefanie Kriel, Shamim Mollah. bioRxiv 2020. (doi: https://doi.org/10.1101/2020.12.01.406249)

The above reference shall be cited in all journal articles, manuscripts, abstracts, and presentations that describe 1) the Software, 2) substantial portions of the Software, or 3) any uses thereof. The above reference shall also be included in all copies or substantial portions of the Software.” THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Citation:

Charles Lu, Rintsen Sherpa, Liubou Klindziuk, Stefanie Kriel, Shamim Mollah. “HOCMO: A Tensor-based Higher-Order Correlation Model to Deconvolute Epigenetic Microenvironment in Breast Cancer”. 2020. (doi.org/10.1101/2020.12.01.406249)

Contact:

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 3

  •  
  •  
  •