Evidence map›Paper›PMID 25664462›Full record

ArticlePloS one2015

HPOSim: an R package for phenotypic similarity measure and enrichment analysis based on the human phenotype ontology.

Yue Deng, Lin Gao, Bingbo Wang, Xingli Guo

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yue DengSchool of Computer Science and Technology, Xidian University, Xi'an, People's Republic of China; Institute of Software Engineering, Xidian University, Xi'an, People's Republic of China.
Lin GaoSchool of Computer Science and Technology, Xidian University, Xi'an, People's Republic of China.
Bingbo WangSchool of Computer Science and Technology, Xidian University, Xi'an, People's Republic of China.
Xingli GuoSchool of Computer Science and Technology, Xidian University, Xi'an, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhenotypic features associated with genes and diseases play an important role in disease-related studies and most of the available methods focus solely on the Online Mendelian Inheritance in Man (OMIM) database without considering the controlled vocabulary. The Human Phenotype Ontology (HPO) provides a standardized and controlled vocabulary covering phenotypic abnormalities in human diseases, and becomes a comprehensive resource for computational analysis of human disease phenotypes. Most of the existing HPO-based software tools cannot be used offline and provide only few similarity measures. Therefore, there is a critical need for developing a comprehensive and offline software for phenotypic features similarity based on HPO.

resultsHPOSim is an R package for analyzing phenotypic similarity for genes and diseases based on HPO data. Seven commonly used semantic similarity measures are implemented in HPOSim. Enrichment analysis of gene sets and disease sets are also implemented, including hypergeometric enrichment analysis and network ontology analysis (NOA).

conclusionsHPOSim can be used to predict disease genes and explore disease-related function of gene modules. HPOSim is open source and freely available at SourceForge (https://sourceforge.net/p/hposim/).

Indexed as

Gene OntologyPhenotypeSoftwareComputational BiologyDatabases, GeneticDiseaseGenesGenetic Predisposition to DiseaseHumans

Identifiers

PMID25664462
PMCPMC4321842

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.