Negative dataset selection impacts machine learning-based predictors for multiple bacterial species promoters

Authors

Michael Seeger (ORCID: https://orcid.org/0000-0002-3925-1996)
Marcelo González
Nicolás Jara (ORCID: https://orcid.org/0000-0003-2495-8929)
Roberto E. Durán (ORCID: https://orcid.org/0000-0003-0077-9483)
Mauricio Araya (ORCID: https://orcid.org/0000-0003-3472-4130)

Institutions

Biosensores (Spain) (ES)

Publication Details

Journal: Bioinformatics
Published: 2025-03-27
DOI: https://doi.org/10.1093/bioinformatics/btaf135
Citations: 2
Primary Topic: Machine Learning in Bioinformatics
Type: article
Field-Weighted Citation Impact: 1.61

Funders

Agencia Nacional de Investigación y Desarrollo

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article

Negative dataset selection impacts machine learning-based predictors for multiple bacterial species promoters

Michael Seeger, Marcelo González, Nicolás Jara, Roberto E. Durán et al.

Mar 27, 2025

2 citations

Bioinformatics

Machine Learning in Bioinformatics

1.61

article

Negative dataset selection impacts machine learning-based predictors for multiple bacterial species promoters

Michael Seeger, Marcelo González, Nicolás Jara, Roberto E. Durán, Mauricio Araya

March 27, 2025article en

2 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(4)

Biosensores (Spain) (ES)

Agencia Nacional de Investigación y Desarrollo

Life in Land

Openalex Percentile: Top 18%

Machine Learning in Bioinformatics

1.61

DOI Open Access PDF OpenAlex

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Negative dataset selection impacts machine learning-based predictors for multiple bacterial species promoters — Michael Seeger, Marcelo González, et al. · Bioinformatics (2025) | TGRS Research Map | TGRS