Using machine learning models to predict the effects of seasonal fluxes on Plesiomonas shigelloides population density

Machine learning-informed and synthetic biology-enabled semi-continuous algal cultivation to unleash renewable fuel productivity

(2022) Bin Long et al.   Nature Communications

Robust host source tracking building on the divergent and non-stochastic assembly of gut microbiomes in wild and farmed large yellow croaker

(2022) Jun Zhu et al.   Microbiome

Interpretable prediction of necrotizing enterocolitis from machine learning analysis of premature infant stool microbiota

(2022) Yun Chao Lin et al.   BMC BIOINFORMATICS

Early prediction of incident liver disease using conventional risk factors and gut-microbiome-augmented gradient boosting

(2022) Yang Liu et al.   Cell Metabolism

Helicobacter pylori (H. pylori) risk factor analysis and prevalence prediction: a machine learning-based approach

(2022) Van Tran et al.   BMC INFECTIOUS DISEASES

Predicting the abundance of metal resistance genes in subtropical estuaries using amplicon sequencing and machine learning

(2022) Lei Zhou et al.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY

Machine learning to predict dynamic changes of pathogenic Vibrio spp. abundance on microplastics in marine environment

(2022) Jiawen Jiang et al.   ENVIRONMENTAL POLLUTION

Environmental and anthropogenic factors associated with the likelihood of detecting Salmonella in agricultural watersheds

(2022) Magaly Toro et al.   ENVIRONMENTAL POLLUTION

Identification and pathogenicity of Plesiomonas shigelloides from Acipenser dabryanus in China

(2021) Jin‐zhen Jiang et al.   AQUACULTURE RESEARCH

Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan Africa

(2021) Charles K. Mutai et al.   BMC Medical Research Methodology

Data Analytics for Environmental Science and Engineering Research

(2021) Suraj Gupta et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Predicting antibiotic resistance gene abundance in activated sludge using shotgun metagenomics and machine learning

(2021) Yuepeng Sun et al.   WATER RESEARCH

Machine learning modeling and analysis of biohydrogen production from wastewater by dark fermentation process

(2021) Ahmad Hosseinzadeh et al.   BIORESOURCE TECHNOLOGY

Is skipping the definition of primary and secondary models possible? Prediction of Escherichia coli O157 growth by machine learning

(2021) Kento Koyama et al.   JOURNAL OF MICROBIOLOGICAL METHODS

Predicting measures of soil health using the microbiome and supervised machine learning

(2021) Roland C. Wilhelm et al.   SOIL BIOLOGY & BIOCHEMISTRY

Machine learning methods for microbiome studies

(2020) Junghyun Namkung   JOURNAL OF MICROBIOLOGY

Groundwater Spring Potential Mapping Using Artificial Intelligence Approach Based on Kernel Logistic Regression, Random Forest, and Alternating Decision Tree Models

(2020) Wei Chen et al.   Applied Sciences-Basel

Comparative Analysis of Artificial Intelligence Models for Accurate Estimation of Groundwater Nitrate Concentration

(2020) Shahab S. Band et al.   SENSORS

Horizontal Gene Transfer Clarifies Taxonomic Confusion and Promotes the Genetic Diversity and Pathogenicity of Plesiomonas shigelloides

(2020) Zhiqiu Yin et al.   mSystems

Evaluation of remotely sensed prediction and forecast models for Vibrio parahaemolyticus in the Chesapeake Bay

(2020) Nicole M. DeLuca et al.   REMOTE SENSING OF ENVIRONMENT

Modelling the effects of physicochemical variables and anthropogenic activities as ecological drivers of Plesiomonas shigelloides distribution and freshwaters quality

(2019) Temitope Cyrus Ekundayo et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods

(2019) Omid Rahmati et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Identification and pathogenicity of Plesiomonas shigelloides in Silver Carp

(2018) B.K. Behera et al.   AQUACULTURE

Classification and Regression Tree Approach for Prediction of Potential Hazards of Urban Airborne Bacteria during Asian Dust Events

(2018) Keunje Yoo et al.   Scientific Reports

Short-term algal bloom prediction in Juksan weir using M5P model-tree and extreme learning machine

(2018) Hye-Suk Yi et al.   Environmental Engineering Research

The linear random forest algorithm and its advantages in machine learning assisted logging regression modeling

(2018) Yile Ao et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Exploring the potential relationship between indoor air quality and the concentration of airborne culturable fungi: a combined experimental and neural network modeling study

(2017) Zhijian Liu et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Microbial Remobilisation on Riverbed Sediment Disturbance in Experimental Flumes and a Human-Impacted River: Implication for Water Resource Management and Public Health in Developing Sub-Saharan African Countries

(2017) Akebe Abia et al.   International Journal of Environmental Research and Public Health

Plesiomonas shigelloides Revisited

(2016) J. Michael Janda et al.   CLINICAL MICROBIOLOGY REVIEWS

pH Influences the Importance of Niche-Related and Neutral Processes in Lacustrine Bacterioplankton Assembly

(2015) Lijuan Ren et al.   APPLIED AND ENVIRONMENTAL MICROBIOLOGY

Impact of seasonal variation on Escherichia coli concentrations in the riverbed sediments in the Apies River, South Africa

(2015) Akebe Luther King Abia et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea

(2015) Yongeun Park et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Real-time observation, early warning and forecasting phytoplankton blooms by integrating in situ automated online sondes and hybrid evolutionary algorithms

(2014) Lin Ye et al.   Ecological Informatics

Rainfall-induced fecal indicator organisms transport from manured fields: Model sensitivity analysis

(2013) Gonzalo Martinez et al.   ENVIRONMENT INTERNATIONAL

Release, Dispersion, and Resuspension ofEscherichia coliFrom Direct Fecal Deposits Under Controlled Flows1

(2013) Rachel L. McDaniel et al.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

Ocean Warming and Spread of Pathogenic Vibrios in the Aquatic Environment

(2013) Luigi Vezzulli et al.   MICROBIAL ECOLOGY

Bacteria Contribute to Sediment Nutrient Release and Reflect Progressed Eutrophication-Driven Hypoxia in an Organic-Rich Continental Sea

(2013) Hanna Sinkko et al.   PLoS One

Shifts between ammonia-oxidizing bacteria and archaea in relation to nitrification potential across trophic gradients in two large Chinese lakes (Lake Taihu and Lake Chaohu)

(2013) Jie Hou et al.   WATER RESEARCH

Stochastic Assembly Leads to Alternative Communities with Distinct Functions in a Bioreactor Microbial Community

(2013) J. Zhou et al.   mBio

Effects of land cover, topography, and built structure on seasonal water quality at multiple spatial scales

(2012) Bethany Pratt et al.   JOURNAL OF HAZARDOUS MATERIALS

Beyond biogeographic patterns: processes shaping the microbial landscape

(2012) China A. Hanson et al.   NATURE REVIEWS MICROBIOLOGY

Pathogens in Pacific white shrimp (Litopenaeus vannamei Boone, 1931) and their relationship with physicochemical parameters in three different culture systems in Tamaulipas, Mexico

(2011) Gilberto J. Gutiérrez-Salazar et al.   AQUACULTURE

Bias-corrected random forests in regression

(2011) Guoyi Zhang et al.   JOURNAL OF APPLIED STATISTICS

The merging of community ecology and phylogenetic biology

(2009) Jeannine Cavender-Bares et al.   ECOLOGY LETTERS

Environmental signatures associated with cholera epidemics

(2008) G. Constantin de Magny et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA