Cargando…

Metagenomic Geolocation Prediction Using an Adaptive Ensemble Classifier

Microbiome samples harvested from urban environments can be informative in predicting the geographic location of unknown samples. The idea that different cities may have geographically disparate microbial signatures can be utilized to predict the geographical location based on city-specific microbio...

Descripción completa

Detalles Bibliográficos
Autores principales:	Anyaso-Samuel, Samuel, Sachdeva, Archie, Guha, Subharup, Datta, Somnath
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093763/ https://www.ncbi.nlm.nih.gov/pubmed/33959149 http://dx.doi.org/10.3389/fgene.2021.642282

Ejemplares similares

Metagenomic Geolocation Using Read Signatures
por: Chappell , Timothy, et al.
Publicado: (2022)

Unraveling City-Specific Microbial Signatures and Identifying Sample Origins for the Data From CAMDA 2020 Metagenomic Geolocation Challenge
por: Zhang, Runzhi, et al.
Publicado: (2021)

An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
por: Datta, Susmita, et al.
Publicado: (2010)

Comprehensive benchmarking and ensemble approaches for metagenomic classifiers
por: McIntyre, Alexa B. R., et al.
Publicado: (2017)

Correction to: Comprehensive benchmarking and ensemble approaches for metagenomic classifiers
por: McIntyre, Alexa B. R., et al.
Publicado: (2019)

XGEM: Predicting Essential miRNAs by the Ensembles of Various Sequence-Based Classifiers With XGBoost Algorithm
por: Min, Hui, et al.
Publicado: (2022)

A machine learning framework to determine geolocations from metagenomic profiling
por: Huang, Lihong, et al.
Publicado: (2020)

SAWRPI: A Stacking Ensemble Framework With Adaptive Weight for Predicting ncRNA-Protein Interactions Using Sequence Information
por: Ren, Zhong-Hao, et al.
Publicado: (2022)

Bayesian Disease Classification Using Copy Number Data
por: Guha, Subharup, et al.
Publicado: (2014)

Bioinspired polarization vision enables underwater geolocalization
por: Powell, Samuel B., et al.
Publicado: (2018)

An ensemble learning approach for diabetes prediction using boosting techniques
por: Ganie, Shahid Mohammad, et al.
Publicado: (2023)

Geolocation in iOS
por: Allan, Alasdair
Publicado: (2012)

HTML5 Geolocation
por: Holdener, Anthony
Publicado: (2011)

Predicting Geolocation of Tweets: Using Combination of CNN and BiLSTM
por: Mahajan, Rhea, et al.
Publicado: (2021)

De novo Prediction of Moonlighting Proteins Using Multimodal Deep Ensemble Learning
por: Li, Ying, et al.
Publicado: (2021)

LITHOPHONE: Improving lncRNA Methylation Site Prediction Using an Ensemble Predictor
por: Liu, Lian, et al.
Publicado: (2020)

A Stacking Ensemble Learning Framework for Genomic Prediction
por: Liang, Mang, et al.
Publicado: (2021)

Predicting Drug-Disease Association Based on Ensemble Strategy
por: Wang, Jianlin, et al.
Publicado: (2021)

An Adaptive Heterogeneous Online Learning Ensemble Classifier for Nonstationary Environments
por: Museba, Tinofirei, et al.
Publicado: (2021)

Geolocation, ethics, and HIV research
por: Garett, Renee, et al.
Publicado: (2021)

Geolocation Techniques: Principles and Applications
por: Gentile, Camillo, et al.
Publicado: (2013)

Usefulness of Microbiome for Forensic Geolocation: A Review
por: Haarkötter, Christian, et al.
Publicado: (2021)

Cancer as a Tissue Anomaly: Classifying Tumor Transcriptomes Based Only on Healthy Data
por: Quinn, Thomas P., et al.
Publicado: (2019)

Metagenomic Predictions: A Review 10 years on
por: Ross, Elizabeth M, et al.
Publicado: (2022)

Evaluation of an ensemble of genetic models for prediction of a quantitative trait
por: Milton, Jacqueline N., et al.
Publicado: (2015)

Design of adaptive ensemble classifier for online sentiment analysis and opinion mining
por: Kumar, Sanjeev, et al.
Publicado: (2021)

Prediction of Lysine Ubiquitylation with Ensemble Classifier and Feature Selection
por: Zhao, Xiaowei, et al.
Publicado: (2011)

An Ensemble Strategy to Predict Prognosis in Ovarian Cancer Based on Gene Modules
por: Gao, Yi-Cheng, et al.
Publicado: (2019)

Glycosylation site prediction using ensembles of Support Vector Machine classifiers
por: Caragea, Cornelia, et al.
Publicado: (2007)

On effectively predicting autism spectrum disorder therapy using an ensemble of classifiers
por: Twala, Bhekisipho, et al.
Publicado: (2023)

ZY3-02 Laser Altimeter Footprint Geolocation Prediction
por: Xie, Junfeng, et al.
Publicado: (2017)

Multistage Combination Classifier Augmented Model for Protein Secondary Structure Prediction
por: Zhang, Xu, et al.
Publicado: (2022)

Quantum ensembles of quantum classifiers
por: Schuld, Maria, et al.
Publicado: (2018)

Time-Critical Geolocation for Social Good
por: Suwaileh, Reem
Publicado: (2020)

Willingness to participate in geolocation-based research
por: Ochoa Gómez, Carlos
Publicado: (2022)

MARVEL, a Tool for Prediction of Bacteriophage Sequences in Metagenomic Bins
por: Amgarten, Deyvid, et al.
Publicado: (2018)

Accessing Livestock Resources in Ensembl
por: Martin, Fergal J., et al.
Publicado: (2021)

Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification
por: Walid, Md. Abul Ala, et al.
Publicado: (2023)

Predicting gene function in a hierarchical context with an ensemble of classifiers
por: Guan, Yuanfang, et al.
Publicado: (2008)

Protein ligand-specific binding residue predictions by an ensemble classifier
por: Hu, Xiuzhen, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_9qmbk9hlss7a9v6tpenecfqp3e