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The advantage of intergenic regions as genomic features for machine-learning-based host attribution of Salmonella Typhimurium from the USA paper by Independent / Community
⭐ 65.1
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Paper

The advantage of intergenic regions as genomic features for machine-learning-based host attribution of Salmonella Typhimurium from the USA

by Independent / Community 0019f7cdf5775759535f04d9c9295c6a3e59b66a
Free2AITools Nexus Index
65.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 75
P: Popularity 50
R: Recency 100
Q: Quality 65
Tech Context
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Salmonella enterica is a taxonomically diverse pathogen with over 2600 serovars associated with a wide variety of animal hosts including humans, other mammals, birds and reptiles. Some serovars are host-specific or host-restricted and cause disease in distinct host species, while others, such as serovar S. Typhimurium (STm), are generalists and have the potential to colonize a wide variety of species. However, even within generalist serovars such as STm it is becoming clear that pathovariants...

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Semantic Scholar 8 Citations
Paper Information Summary
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Registry ID 0019f7cdf5775759535f04d9c9295c6a3e59b66a
License ArXiv
Provider semantic_scholar
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Cite this paper

Academic & Research Attribution

BibTeX 
@misc{0019f7cdf5775759535f04d9c9295c6a3e59b66a,
  author = {Unknown},
  title = {The advantage of intergenic regions as genomic features for machine-learning-based host attribution of Salmonella Typhimurium from the USA Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/0019f7cdf5775759535f04d9c9295c6a3e59b66a}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). The advantage of intergenic regions as genomic features for machine-learning-based host attribution of Salmonella Typhimurium from the USA [Paper]. Free2AITools. https://api.semanticscholar.org/0019f7cdf5775759535f04d9c9295c6a3e59b66a

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Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 75
Popularity (P) 50
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for The advantage of intergenic regions as genomic features for machine-learning-based host attribution of Salmonella Typhimurium from the USA: Authority (A:75), Popularity (P:50), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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πŸ“ Executive Summary

"Salmonella enterica is a taxonomically diverse pathogen with over 2600 serovars associated with a wide variety of animal hosts including humans, other mammals, birds and reptiles. Some serovars are host-specific or host-restricted and cause disease in distinct host species, while others, such as serovar S. Typhimurium (STm), are generalists and have the potential to colonize a wide variety of species. However, even within generalist serovars such as STm it is becoming clear that pathovariants..."

❝ Cite Node 

@article{Unknown2026The,
  title={The advantage of intergenic regions as genomic features for machine-learning-based host attribution of Salmonella Typhimurium from the USA},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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πŸ“Š Research Signals

πŸ“ˆ8CitationsSemantic Scholar
πŸ›οΈ75AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…65QualityFNI pillar
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source
semantic_scholar
author
Unknown
license
ArXiv
tags
paper, research, academic

βš™οΈ Technical Specs

architecture
null
params billions
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