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A Cross-Validated Feature Selection (CVFS) approach for extracting the most parsimonious feature sets and discovering potential antimicrobial resistance (AMR) biomarkers
Research article (Computational and Structural Biotechnology Journal, 2022) · cited 13× · AI/ML
A Cross-Validated Feature Selection (CVFS) approach for extracting the most parsimonious feature sets and discovering potential antimicrobial resistance (AMR) biomarkers
Summary
A Cross-Validated Feature Selection (CVFS) approach for extracting the most parsimonious feature sets and discovering potential antimicrobial resistance (AMR) biomarkers is a scholarly article[1].
Key Facts
A Cross-Validated Feature Selection (CVFS) approach for extracting the most parsimonious feature sets and discovering potential antimicrobial resistance (AMR) biomarkers's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A Cross-Validated Feature Selection (CVFS) approach for extracting the most parsimonious feature sets and discovering potential antimicrobial resistance (AMR) biomarkers. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-cross-validated-feature-selection-cvfs-approach-for-extracting-the-most-parsimonious-feature-sets-and-discovering-pote
MLA“A Cross-Validated Feature Selection (CVFS) approach for extracting the most parsimonious feature sets and discovering potential antimicrobial resistance (AMR) biomarkers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-cross-validated-feature-selection-cvfs-approach-for-extracting-the-most-parsimonious-feature-sets-and-discovering-pote.
BibTeX@misc{4ortxyz_a-cross-validated-feature-selection-cvfs-approach-for-extracting-the-most-parsimonious-feature-sets-and-discovering-pote_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Cross-Validated Feature Selection (CVFS) approach for extracting the most parsimonious feature sets and discovering potential antimicrobial resistance (AMR) biomarkers}}, year = {2026}, url = {https://4ort.xyz/entity/a-cross-validated-feature-selection-cvfs-approach-for-extracting-the-most-parsimonious-feature-sets-and-discovering-pote}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Cross-Validated Feature Selection (CVFS) approach for extracting the most parsimonious feature sets and discovering potential antimicrobial resistance (AMR) biomarkers — https://4ort.xyz/entity/a-cross-validated-feature-selection-cvfs-approach-for-extracting-the-most-parsimonious-feature-sets-and-discovering-pote (retrieved 2026-05-24)
