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R Package for Gene Ontology Label Discernment and Identification.

Home Page: http://biorxiv.org/content/early/2016/09/05/073460

License: MIT License

R 75.06% C++ 14.25% Makefile 0.31% Shell 0.48% Python 9.90%
gene-ontology natural-language-processing ontological-labels

goldi's Introduction

Hi there, I'm Chris.

I am currently a lead scientist at Deep Genomics in Toronto. My work involves using machine learning and AI to identify causal drug targets from human genetics data. I previously completed my DPhil working with Gerton Lunter and Thomas Milne at the University of Oxford. Check out my website for a breakdown of previous projects and repositories of interest.

goldi's People

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goldi's Issues

Precompute TDM function

Allow the user to precompute TDMs if this makes more sense (looping around many articles with one list of terms, or looping around maybe term lists with one article)

disable reporting above length i terms

where i is maximum length given

$$ \vec{J} = \begin{bmatrix} \frac{\partial f}{\partial{V}} & \frac{\partial f}{\partial{W}} \\ \frac{\partial g}{\partial{V}} & \frac{\partial g}{\partial{W}} \end{bmatrix} $$

Issues before publication

Journal of Open Source Research software

  • Make into R package style
  • Write documentation
  • Write config functions
  • Package up dependencies (pdf2text etc)
  • Create toy data and examples of use

[CRAN / BIOC] Return S4 goldi class

Instead of returning a data frame, include more information and create a class goldi

setClass("goldi", representations(terms = "vector", context = "vector", counts = "vector", ...)

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