DiShIn
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Contents:

  • Getting started
  • Other Examples
  • Data Sources
  • API
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  • DiShIn: Semantic Similarity Measures using Disjunctive Shared Information
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DiShIn: Semantic Similarity Measures using Disjunctive Shared Information¶

This software package provides the basic functions to start using semantic similarity measures directly from a rdf or owl file.

Contents:

  • Getting started
    • Installation
    • Quick start
  • Other Examples
    • Gene Ontology (GO) and UniProt proteins
    • Chemical Entities of Biological Interest (ChEBI) Example
    • Human Phenotype (HP) Example
    • Human Disease Ontology (HDO) Example
    • Ontology for Stem Cell Investigations (OSCI)
    • Cell Ontology (CL)
    • Environmental conditions, treatments and exposures ontology (ECTO)
    • Environment Ontology (ENVO)
    • Medical Subject Headings (MeSH) Example
    • Radiology Lexicon (RadLex) Example
    • WordNet Example
  • Data Sources
    • Gene Ontology (GO)
    • ChEBI
    • Human Phenotype ontology (HPO)
    • Human Disease Ontology (DO)
    • Ontology for Stem Cell Investigations (OSCI)
    • Cell Ontology (CL)
    • Environmental conditions, treatments and exposures ontology (ECTO)
    • Environment Ontology (ENVO)
    • Medical Subject Headings (MeSH) Example
    • RadLex
    • WordNet
  • API

Reference:¶

  • F. Couto and A. Lamurias, “Semantic similarity definition,” in Encyclopedia of Bioinformatics and Computational Biology (S. Ranganathan, K. Nakai, C. Schönbach, and M. Gribskov, eds.), vol. 1, pp. 870–876, Oxford: Elsevier, 2019 https://doi.org/10.1016/B978-0-12-809633-8.20401-9

Indices and tables¶

  • Index
  • Module Index
  • Search Page
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© Copyright 2021, A. Lamurias and F. Couto Revision 32bba75f.

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