Identification of biomarkers related to Escherichia coli infection for the diagnosis of gastrointestinal tumors applying machine learning methods

Overall, we identified and validated 8 robust genes related to <i>E. coli</i> applying bioinformatics and machine learning algorithms, providing theoretical foundations for the relationship between <i>E. coli</i>-related dysbiosis and gastrointestinal tumors.

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Publication Details

Journal
Heliyon
Published
2024-11-15
DOI
https://doi.org/10.1016/j.heliyon.2024.e40491
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Identification of biomarkers related to Escherichia coli infection for the diagnosis of gastrointestinal tumors applying machine learning methods

X. Chris Le, Dandan Zhang, Lumei Shi, Tingting Ge et al.
Heliyon
Radiomics and Machine Learning in Medical Imaging
article

Identification of biomarkers related to Escherichia coli infection for the diagnosis of gastrointestinal tumors applying machine learning methods

X. Chris Le, Dandan Zhang, Lumei Shi, Tingting Ge, Wei Wang
article en

Abstract

Overall, we identified and validated 8 robust genes related to <i>E. coli</i> applying bioinformatics and machine learning algorithms, providing theoretical foundations for the relationship between <i>E. coli</i>-related dysbiosis and gastrointestinal tumors.

HeliyonVol. 10(23)
University of Nottingham Ningbo China (CN), Ningbo No.6 Hospital (CN)
Openalex Percentile: Top 66%
Radiomics and Machine Learning in Medical Imaging
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