Evidence map›Paper›PMID 35957287›Full record

ArticleSensors (Basel, Switzerland)2022

Convolutional Neural Network Applied to SARS-CoV-2 Sequence Classification.

Gabriel B M Câmara, Maria G F Coutinho, Lucileide M D da Silva, Walter V do N Gadelha, Matheus F Torquato, Raquel de M Barbosa, Marcelo A C Fernandes

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Gabriel B M CâmaraBioinformatics Multidisciplinary Environment (BioME), Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil.ORCID 0000-0002-5736-0782
Maria G F CoutinhoLaboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil.ORCID 0000-0001-8167-5568
Lucileide M D da SilvaLaboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil.ORCID 0000-0001-6282-9744
Walter V do N GadelhaLaboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil.ORCID 0000-0001-8428-2583
Matheus F TorquatoLaboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil.ORCID 0000-0001-6356-3538
Raquel de M BarbosaLaboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil.ORCID 0000-0003-3798-5512
Marcelo A C FernandesBioinformatics Multidisciplinary Environment (BioME), Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil.ORCID 0000-0001-7536-2506

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior Finance Code 001
6 · The paper itself

Abstract

COVID-19, the illness caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus belonging to the

Indexed as

COVID-19SARS-CoV-2HumansNeural Networks, ComputerPandemicsCNNCOVID-19deep learningSARS-CoV-2

Identifiers

PMID35957287
PMCPMC9371030

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.