ArticleMicrobial genomics2017
Patchy promiscuity: machine learning applied to predict the host specificity of
Article in Microbial genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 39 papers.
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.
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.
Who cites it
39 citing papers in PubMed, 76 citations in OpenAlex.
- Genomic signatures associated with epidemiologically defined high-risk pathogenic Escherichia coli isolates identified by interpretable machine learning.Journal of microbiology (Seoul, Korea) · 2026Article
- Genome-based source attribution using a One HealthMicrobial genomics · 2026Article
- Current status and future perspectives of multi-modal bacteria-based cancer therapies.Clinical and translational medicine · 2025Review
- Machine learning and statistical inference in microbial population genomics.Genome biology · 2025Review
- Machine learning based on pangenome-wide association studies reveals the impact of host source on the zoonotic potential of closely related bacterial pathogens.Communications biology · 2025Article
- Attribution of Salmonella enterica to Food Sources by Using Whole-Genome Sequencing Data.Emerging infectious diseases · 2025Article
- aurora: a machine learning gwas tool for analyzing microbial habitat adaptation.Genome biology · 2025Article
- Using GWAS and Machine Learning to Identify and Predict Genetic Variants Associated with Foodborne Bacteria Phenotypic Traits.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Development of a logic regression-based approach for the discovery of host- and niche-informative biomarkers inApplied and environmental microbiology · 2024Article
- A Review on Microbiological Source Attribution Methods of Human Salmonellosis: From Subtyping to Whole-Genome Sequencing.Foodborne pathogens and disease · 2024Review
- Genomic surveillance for antimicrobial resistance - a One Health perspective.Nature reviews. Genetics · 2024Review
- Comparison of three source attribution methods applied to whole genome sequencing data of monophasic and biphasicFrontiers in microbiology · 2024Article
- The advantage of intergenic regions as genomic features for machine-learning-based host attribution ofMicrobial genomics · 2023Article
- Under-Appreciated Phylogroup Diversity ofApplied and environmental microbiology · 2023Article
- Comparison of Source Attribution Methodologies for Human Campylobacteriosis.Pathogens (Basel, Switzerland) · 2023Article
- Rapid geographical source attribution ofeLife · 2023Article
- Development and validation of a random forest algorithm for source attribution of animal and humanFrontiers in microbiology · 2023Article
- Genomics and pathotypes of the many faces of Escherichia coli.FEMS microbiology reviews · 2022Article
- Source Attribution of Human Campylobacteriosis Using Whole-Genome Sequencing Data and Network Analysis.Pathogens (Basel, Switzerland) · 2022Article
- Salmonella enterica Serovar Typhimurium Isolates from Wild Birds in the United States Represent Distinct Lineages Defined by Bird Type.Applied and environmental microbiology · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 4 institutions in 1 country.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.