Evidence map›Paper›PMID 34004573›Full record

ArticleComputers in biology and medicine2021

Image processing unravels the evolutionary pattern of SARS-CoV-2 against SARS and MERS through position-based pattern recognition.

Reza Ahsan, Mohammad Reza Tahsili, Faezeh Ebrahimi, Esmaeil Ebrahimie, Mansour Ebrahimi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computers in biology and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Reza AhsanDepartment of Computer Engineering, Qom Branch, Islamic Azad University, Qom, Iran.
Mohammad Reza TahsiliDepartment of Biology, School of Basic Sciences, University of Qom, Qom, Iran.
Faezeh EbrahimiFaculty of Life Sciences and Biotechnology, Department of Microbiology and Microbial Biotechnology, Shahid Beheshti University, Tehran, Iran.
Esmaeil EbrahimieGenomics Research Platform, School of Life Sciences, College of Science, Health and Engineering, La Trobe University, Melbourne, Victoria, 3086, Australia; School of Animal and Veterinary Sciences, The University of Adelaide, South Australia, 5371, Australia.
Mansour EbrahimiDepartment of Biology, School of Basic Sciences, University of Qom, Qom, Iran; School of Animal and Veterinary Sciences, The University of Adelaide, South Australia, 5371, Australia. Electronic address: mansour@future.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-COV-2, Severe Acute Respiratory Syndrome (SARS), and the Middle East respiratory syndrome-related coronavirus (MERS) viruses are from the coronaviridae family; the former became a global pandemic (with low mortality rate) while the latter were confined to a limited region (with high mortality rates). To investigate the possible structural differences at basic levels for the three viruses, genomic and proteomic sequences were downloaded and converted to polynomial datasets. Seven attribute weighting (feature selection) models were employed to find the key differences in their genome's nucleotide sequence. Most attribute weighting models selected the final nucleotide sequences (from 29,000

Indexed as

COVID-19Middle East Respiratory Syndrome CoronavirusHumansPandemicsProteomicsSARS-CoV-2Attribute weightingConvolution neural networkImage processingSARS-COV-2

Identifiers

PMID34004573
PMCPMC8106241

What OpenQuestion holds

Textmetadata
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Registered trials

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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.