4.6 Article

Machine Learning Prediction of Nitrification From Ammonia- and Nitrite-Oxidizer Community Structure

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Multidisciplinary Sciences

Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt

Mohsen Shahhosseini et al.

Summary: The study shows that adding simulated crop model variables to machine learning models can reduce prediction errors and that variables related to soil moisture have the biggest impact on predictions. It indicates that more hydrological inputs are needed for improved accuracy in yield predictions.

SCIENTIFIC REPORTS (2021)

Article Microbiology

Agricultural Management Affects the Active Rhizosphere Bacterial Community Composition and Nitrification

Guillaume Bay et al.

Summary: The diversity of cropping systems affects the composition of soil microbial communities, particularly in the rhizosphere and endosphere. Diversified cropping systems recruit a more diverse bacterial community in the rhizosphere, while fungal species richness varies between different cropping systems.

MSYSTEMS (2021)

Article Biochemical Research Methods

MiMeNet: Exploring microbiome-metabolome relationships using neural networks

Derek Reiman et al.

Summary: MiMeNet is a neural network framework that accurately predicts metabolite abundances and identifies well-predicted metabolites. It can group microbes and metabolites with similar interaction patterns and functions, shedding light on the underlying structure of the microbe-metabolite interaction network. MiMeNet is a powerful tool for generating insights into metabolic dysregulation in disease and facilitating future hypothesis generation at the microbiome and metabolomics interface.

PLOS COMPUTATIONAL BIOLOGY (2021)

Article Biotechnology & Applied Microbiology

Short-Term Nitrogen Fertilization Affects Microbial Community Composition and Nitrogen Mineralization Functions in an Agricultural Soil

Yang Ouyang et al.

APPLIED AND ENVIRONMENTAL MICROBIOLOGY (2020)

Article Multidisciplinary Sciences

DeepMicro: deep representation learning for disease prediction based on microbiome data

Min Oh et al.

SCIENTIFIC REPORTS (2020)

Article Plant Sciences

Forecasting Corn Yield With Machine Learning Ensembles

Mohsen Shahhosseini et al.

FRONTIERS IN PLANT SCIENCE (2020)

Article Multidisciplinary Sciences

Agricultural diversification promotes multiple ecosystem services without compromising yield

Giovanni Tamburini et al.

SCIENCE ADVANCES (2020)

Article Environmental Sciences

Maize yield and nitrate loss prediction with machine learning algorithms

Mohsen Shahhosseini et al.

ENVIRONMENTAL RESEARCH LETTERS (2019)

Review Biochemistry & Molecular Biology

Next-Generation Machine Learning for Biological Networks

Diogo M. Camacho et al.

Article Computer Science, Artificial Intelligence

A hybrid decision tree algorithm for mixed numeric and categorical data in regression analysis

Kyoungok Kim et al.

PATTERN RECOGNITION LETTERS (2017)

Article Environmental Sciences

Predicting Top-of-Atmosphere Thermal Radiance Using MERRA-2 Atmospheric Data with Deep Learning

Tania Kleynhans et al.

REMOTE SENSING (2017)

Article Biochemical Research Methods

Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights

Edoardo Pasolli et al.

PLOS COMPUTATIONAL BIOLOGY (2016)

Article Multidisciplinary Sciences

Autotrophic ammonia oxidation by soil thaumarchaea

Li-Mei Zhang et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2010)

Article Statistics & Probability

Principal component analysis

Herve Abdi et al.

WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS (2010)

Article Multidisciplinary Sciences

Identifying the fundamental units of bacterial diversity: A paradigm shift to incorporate ecology into bacterial systematics

Alexander Koeppel et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2008)