Research graph
References from Assessment of vector-host-pathogen relationships using data mining and machine learning. Local targets link to admitted publications; unresolved targets remain external evidence.
Global change and human vulnerability to vector-borne diseases
10.3389/fphys.2013.00158 · 2013 · External reference
A global brief on vector-borne diseases
2014 · External reference
10.1016/j.dci.2019.103458
10.1016/j.dci.2019.103458 · External reference
The ecological foundations of transmission potential and vector-borne disease in urban landscapes
10.1111/1365-2435.12487 · 2015 · External reference
The population dynamics of vector-borne diseases
2013 · External reference
Scoping review on vector-borne diseases in urban areas: transmission dynamics, vectorial capacity and co-infection
10.1186/s40249-018-0475-7 · 2018 · External reference
10.1007/978-3-030-02318-8_4
10.1007/978-3-030-02318-8_4 · External reference
10.1016/j.coviro.2015.10.003
10.1016/j.coviro.2015.10.003 · External reference
10.1016/j.cois.2017.03.001
10.1016/j.cois.2017.03.001 · External reference
10.1371/journal.pgen.1000185
10.1371/journal.pgen.1000185 · External reference
10.1371/journal.pone.0163769
10.1371/journal.pone.0163769 · External reference
Bartonella quintana deploys host and vector temperature-specific transcriptomes
10.1371/journal.pone.0058773 · 2013 · External reference
Data mining for the identification of metabolic syndrome status
2018 · External reference
10.1016/j.csbj.2014.11.005
10.1016/j.csbj.2014.11.005 · External reference
10.1371/journal.pmed.1000097
10.1371/journal.pmed.1000097 · External reference
A systematic review of data mining and machine learning for air pollution epidemiology
10.1186/s12889-017-4914-3 · 2017 · External reference
Unresolved reference
External reference
Predicting host tropism of influenza A virus proteins using random forest
2014 · External reference
Predicting reservoir hosts and arthropod vectors from evolutionary signatures in RNA virus genomes
2018 · External reference
Data-driven predictions and novel hypotheses about zoonotic tick vectors from the genus Ixodes
2018 · External reference
10.1038/nature13185
10.1038/nature13185 · External reference
Volatile biomarkers of symptomatic and asymptomatic malaria infection in humans
10.1073/pnas.1801512115 · 2018 · External reference
Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector. Anopheles arabiensis
2019 · External reference
Deep learning algorithms improve automated identification of Chagas disease vectors
10.1093/jme/tjz065 · 2019 · External reference
Application of convolutional neural networks for classification of adult mosquitoes in the field
10.1371/journal.pone.0210829 · 2019 · External reference
Classification and morphological analysis of vector mosquitoes using deep convolutional neural networks
10.1038/s41598-020-57875-1 · 2020 · External reference
Artificial Neural Network applied as a methodology of mosquito species identification
10.1016/j.actatropica.2015.09.011 · 2015 · External reference
Improving hazard characterization in microbial risk assessment using next generation sequencing data and machine learning: predicting clinical outcomes in shigatoxigenic Escherichia coli
2019 · External reference
Machine learning identifies signatures of host adaptation in the bacterial pathogen Salmonella enterica
10.1371/journal.pgen.1007333 · 2018 · External reference
Antigenic: an improved prediction model of protective antigens
2019 · External reference
10.1371/journal.pntd.0000196
10.1371/journal.pntd.0000196 · External reference
10.1186/s12859-019-3317-0
10.1186/s12859-019-3317-0 · External reference
Prediction of T4SS effector proteins for anaplasma phagocytophilum using OPT4e. A new software tool
10.3389/fmicb.2019.01391 · 2019 · External reference
PredT4SE-stack: Prediction of bacterial type IV secreted effectors from protein sequences using a stacked ensemble method
10.3389/fmicb.2018.02571 · 2018 · External reference
Defining host–pathogen interactions employing an artificial intelligence workflow
2019 · External reference
PaPrBaG: a machine learning approach for the detection of novel pathogens from NGS data
10.1038/srep39194 · 2017 · External reference
10.1093/bioinformatics/bts042
10.1093/bioinformatics/bts042 · External reference
10.1073/pnas.1711673114
10.1073/pnas.1711673114 · External reference
10.3390/microorganisms7120680
10.3390/microorganisms7120680 · External reference
Machine learning methods reveal the temporal pattern of dengue incidence using meteorological factors in metropolitan Manila, Philippines
10.1186/s12879-018-3066-0 · 2018 · External reference
10.1136/amiajnl-2013-002348
10.1136/amiajnl-2013-002348 · External reference
Modelling the potential spatial distribution of mosquito species using three different techniques
10.1186/s12942-015-0001-0 · 2015 · External reference
Identification of high-risk habitats of oncomelania hupensis, the intermediate host of schistosoma japonium in the poyang lake region, China: A spatial and ecological analysis
2019 · External reference
10.1371/journal.pone.0216511
10.1371/journal.pone.0216511 · External reference
Seasonality modeling of the distribution of Aedes albopictus in China based on climatic and environmental suitability
2019 · External reference
10.1016/j.actatropica.2017.11.020
10.1016/j.actatropica.2017.11.020 · External reference
Assessment of land use factors associated with dengue cases in Malaysia using boosted regression trees
2014 · External reference
10.1109/access.2020.2971091
10.1109/access.2020.2971091 · External reference
Using an optimal set of features with a machine learning-based approach to predict effector proteins for Legionella pneumophila
10.1371/journal.pone.0202312 · 2019 · External reference
A guide to machine learning for bacterial host attribution using genome sequence data. Microb
2019 · External reference
10.1109/tbme.2019.2897285
10.1109/tbme.2019.2897285 · External reference
10.1109/bigdatacongress.2017.54
10.1109/bigdatacongress.2017.54 · External reference
Prediction of high incidence of dengue in the Philippines
10.1371/journal.pntd.0002771 · 2014 · External reference
10.1038/nrg.2016.69
10.1038/nrg.2016.69 · External reference
10.1038/nbt.2877
10.1038/nbt.2877 · External reference
Deciphering pathogenicity and antibiotic resistance islands in methicillin-resistant Staphylococcus aureus genomes
10.1098/rsob.170094 · 2017 · External reference
Tissue tropism and transmission ecology predict virulence of human RNA viruses
10.1371/journal.pbio.3000206 · 2019 · External reference
Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches
10.1093/bib/bbx164 · 2019 · External reference
10.1142/s0219720019500197
10.1142/s0219720019500197 · External reference
10.1093/bioinformatics/bty155
10.1093/bioinformatics/bty155 · External reference
