Microbiome-based disease prediction with multimodal variational information bottlenecks
出版年份 2022 全文链接
标题
Microbiome-based disease prediction with multimodal variational information bottlenecks
作者
关键词
Microbiome, Obesity, Metagenomics, Machine learning, Optimization, Shotgun sequencing, Metabolites, Metabolomics
出版物
PLoS Computational Biology
Volume 18, Issue 4, Pages e1010050
出版商
Public Library of Science (PLoS)
发表日期
2022-04-12
DOI
10.1371/journal.pcbi.1010050
参考文献
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。- Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions
- (2021) Isabel Moreno-Indias et al. Frontiers in Microbiology
- PopPhy-CNN: A Phylogenetic Tree Embedded Architecture for Convolutional Neural Networks to Predict Host Phenotype From Metagenomic Data
- (2020) Derek Reiman et al. IEEE Journal of Biomedical and Health Informatics
- A Comprehensive Survey on Transfer Learning
- (2020) Fuzhen Zhuang et al. PROCEEDINGS OF THE IEEE
- Modulating the microbiome to improve therapeutic response in cancer
- (2019) Jennifer L McQuade et al. LANCET ONCOLOGY
- The Battle Within: Interactions of Bacteriophages and Bacteria in the Gastrointestinal Tract
- (2019) Luisa De Sordi et al. Cell Host & Microbe
- Metagenomic and metabolomic analyses reveal distinct stage-specific phenotypes of the gut microbiota in colorectal cancer
- (2019) Shinichi Yachida et al. NATURE MEDICINE
- Multitable Methods for Microbiome Data Integration
- (2019) Kris Sankaran et al. Frontiers in Genetics
- Gut microbiome diversity is associated with sleep physiology in humans
- (2019) Robert P. Smith et al. PLoS One
- MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples
- (2018) Ehsaneddin Asgari et al. BIOINFORMATICS
- Current understanding of the human microbiome
- (2018) Jack A Gilbert et al. NATURE MEDICINE
- Best practices for analysing microbiomes
- (2018) Rob Knight et al. NATURE REVIEWS MICROBIOLOGY
- Microbial strain-level population structure and genetic diversity from metagenomes
- (2017) Duy Tin Truong et al. GENOME RESEARCH
- Shotgun metagenomics, from sampling to analysis
- (2017) Christopher Quince et al. NATURE BIOTECHNOLOGY
- Durable coexistence of donor and recipient strains after fecal microbiota transplantation
- (2016) Simone S. Li et al. SCIENCE
- Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights
- (2016) Edoardo Pasolli et al. PLoS Computational Biology
- MetaPhlAn2 for enhanced metagenomic taxonomic profiling
- (2015) Duy Tin Truong et al. NATURE METHODS
- The Human Gut Microbiome as a Screening Tool for Colorectal Cancer
- (2014) J. P. Zackular et al. Cancer Prevention Research
- Potential of fecal microbiota for early-stage detection of colorectal cancer
- (2014) G. Zeller et al. Molecular Systems Biology
- Alterations of the human gut microbiome in liver cirrhosis
- (2014) Nan Qin et al. NATURE
- Gut microbiome of the Hadza hunter-gatherers
- (2014) Stephanie L. Schnorr et al. Nature Communications
- The Human Microbiome: From Symbiosis to Pathogenesis
- (2013) Emiley A. Eloe-Fadrosh et al. Annual Review of Medicine
- Richness of human gut microbiome correlates with metabolic markers
- (2013) Emmanuelle Le Chatelier et al. NATURE
- Gut metagenome in European women with normal, impaired and diabetic glucose control
- (2013) Fredrik H. Karlsson et al. NATURE
- A metagenome-wide association study of gut microbiota in type 2 diabetes
- (2012) Junjie Qin et al. NATURE
- The human microbiome: at the interface of health and disease
- (2012) Ilseung Cho et al. NATURE REVIEWS GENETICS
- A human gut microbial gene catalogue established by metagenomic sequencing
- (2010) Junjie Qin et al. NATURE
- Vaginal microbiome of reproductive-age women
- (2010) J. Ravel et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
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