Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A Comparative Analysis of Phenotypes Derived from Genes or Biomedical Literature in COVID-19.

Studies in health technology and informatics - 6 Jun 2022

Steenson Sophie, Hawthorne Christopher, Lopez-Campos Guillermo

Abstract excerpt

Since the emergence of SARS-CoV-2 in November 2019, there has been an exponential production of literature due to worldwide efforts to understand the interactions between the virus and the human body. Using an "in-house" developed script we retrieved gene annotations and identified phenotype enrichments. Human Phenotype Ontology terms were retrieved from the literature using the Onassis R package. This produced...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to COVID-19
Share to Phenotype
Share to SARS-CoV-2

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35673221
DOI: 10.3233/SHTI220283

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A Comparative Analysis of Phenotypes Derived from Genes or Biomedical Literature in COVID-19.PMID 35673221Read ↗

Talking about diseases; developing a model of patient and public-prioritised disease phenotypesSemantic proximity Read ↗

The Human Phenotype Ontology in 2021.Semantic proximity Read ↗

Characterizing Long COVID: Deep Phenotype of a Complex ConditionSemantic proximity Read ↗

Comorbidities and Susceptibility to COVID-19: A Generalized Gene Set Meta-Analysis ApproachSemantic proximity Read ↗

The Human Phenotype Ontology in 2024: phenotypes around the world.Semantic proximity Read ↗

Identification and validation of clinical phenotypes with prognostic implications in patients admitted to hospital with COVID-19: a multicentre cohort study.Semantic proximity Read ↗

COVID-19 research risks ignoring important host genes due to pre-established research patternsSemantic proximity Read ↗

MOATAI-VIR - an AI algorithm that predicts severe adverse events and molecular features for COVID-19’s complicationsSemantic proximity Read ↗

Characterizing Long COVID: Deep Phenotype of a Complex ConditionSemantic proximity Read ↗

Genetic variants of the human host influencing the coronavirus-associated phenotypes (SARS, MERS and COVID-19): rapid systematic review and field synopsis.Semantic proximity Read ↗

The Human Phenotype Ontology: Semantic Unification of Common and Rare Disease.Semantic proximity Read ↗

Semantic and Population Analysis of the Genetic Targets Related to COVID-19 and Its Association with Genes and Diseases.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.