Applying artificial intelligence in the microbiome for gastrointestinal diseases: A review
出版年份 2021 全文链接
标题
Applying artificial intelligence in the microbiome for gastrointestinal diseases: A review
作者
关键词
-
出版物
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY
Volume 36, Issue 4, Pages 832-840
出版商
Wiley
发表日期
2021-04-22
DOI
10.1111/jgh.15503
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Giant virus diversity and host interactions through global metagenomics
- (2020) Frederik Schulz et al. NATURE
- Using MicrobiomeAnalyst for comprehensive statistical, functional, and meta-analysis of microbiome data
- (2020) Jasmine Chong et al. Nature Protocols
- Predictable modulation of cancer treatment outcomes by the gut microbiota
- (2020) Yoshitaro Heshiki et al. Microbiome
- Microbiome analyses of blood and tissues suggest cancer diagnostic approach
- (2020) Gregory D. Poore et al. NATURE
- Single-cell technologies in hepatology: new insights into liver biology and disease pathogenesis
- (2020) Prakash Ramachandran et al. Nature Reviews Gastroenterology & Hepatology
- NanoSPC: a scalable, portable, cloud compatible viral nanopore metagenomic data processing pipeline
- (2020) Yifei Xu et al. NUCLEIC ACIDS RESEARCH
- Interpretable and accurate prediction models for metagenomics data
- (2020) Edi Prifti et al. GigaScience
- A Universal Gut-Microbiome-Derived Signature Predicts Cirrhosis
- (2020) Tae Gyu Oh et al. Cell Metabolism
- Clinical-grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning
- (2020) Amelie Echle et al. GASTROENTEROLOGY
- Dietary cholesterol drives fatty liver-associated liver cancer by modulating gut microbiota and metabolites
- (2020) Xiang Zhang et al. GUT
- Microbiomics, metabolomics, predicted metagenomics and hepatic steatosis in a population‐based study of 1355 adults
- (2020) Louise JM Alferink et al. HEPATOLOGY
- Gut microbiome, big data and machine learning to promote precision medicine for cancer
- (2020) Giovanni Cammarota et al. Nature Reviews Gastroenterology & Hepatology
- Revisiting the gut–joint axis: links between gut inflammation and spondyloarthritis
- (2020) Eric Gracey et al. Nature Reviews Rheumatology
- Explainable artificial intelligence model to predict acute critical illness from electronic health records
- (2020) Simon Meyer Lauritsen et al. Nature Communications
- Gut Microbiome Components Predict Response to Neoadjuvant Chemoradiotherapy in Patients with Locally Advanced Rectal Cancer: A Prospective, Longitudinal Study
- (2020) Yuxi Yi et al. CLINICAL CANCER RESEARCH
- A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
- (2020) Erico Tjoa et al. IEEE Transactions on Neural Networks and Learning Systems
- Big data in IBD: a look into the future
- (2019) Pablo Olivera et al. Nature Reviews Gastroenterology & Hepatology
- Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
- (2019) Jakob Nikolas Kather et al. PLOS MEDICINE
- Clinical metagenomics
- (2019) Charles Y. Chiu et al. NATURE REVIEWS GENETICS
- Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study
- (2019) Pu Wang et al. GUT
- The role of the microbiome in immunologic development and its implication for pancreatic cancer immunotherapy
- (2019) Vrishketan Sethi et al. GASTROENTEROLOGY
- Metagenomic analysis of colorectal cancer datasets identifies cross-cohort microbial diagnostic signatures and a link with choline degradation
- (2019) Andrew Maltez Thomas et al. NATURE MEDICINE
- Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
- (2019) Evan Bolyen et al. NATURE BIOTECHNOLOGY
- Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
- (2019) Jakob Nikolas Kather et al. NATURE MEDICINE
- Artificial intelligence — upping the game in gastrointestinal endoscopy?
- (2019) Colin J. Rees et al. Nature Reviews Gastroenterology & Hepatology
- Single-Cell RNA Sequencing-Based Computational Analysis to Describe Disease Heterogeneity
- (2019) Tao Zeng et al. Frontiers in Genetics
- Pavian: Interactive analysis of metagenomics data for microbiome studies and pathogen identification
- (2019) Florian P Breitwieser et al. BIOINFORMATICS
- Tumor Microbiome Diversity and Composition Influence Pancreatic Cancer Outcomes
- (2019) Erick Riquelme et al. CELL
- Gut microbiota in colorectal cancer: mechanisms of action and clinical applications
- (2019) Sunny H. Wong et al. Nature Reviews Gastroenterology & Hepatology
- Revealing the metabolic capacity of Streblomastix strix and its bacterial symbionts using single-cell metagenomics
- (2019) Sebastian C. Treitli et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Explainable Artificial Intelligence for Safe Intraoperative Decision Support
- (2019) Lauren Gordon et al. JAMA Surgery
- Analysis of prognosis, genome, microbiome, and microbial metabolome in different sites of colorectal cancer
- (2019) Yang Xi et al. Journal of Translational Medicine
- DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture
- (2019) Alok Sharma et al. Scientific Reports
- Nanotechnology intervention of the microbiome for cancer therapy
- (2019) Wantong Song et al. Nature Nanotechnology
- Metagenomic binning through low-density hashing
- (2018) Yunan Luo et al. BIOINFORMATICS
- Using Metagenomics to Characterize an Expanding Virosphere
- (2018) Yong-Zhen Zhang et al. CELL
- Molecular phenomics and metagenomics of hepatic steatosis in non-diabetic obese women
- (2018) Lesley Hoyles et al. NATURE MEDICINE
- Gut microbiome–mediated bile acid metabolism regulates liver cancer via NKT cells
- (2018) Chi Ma et al. SCIENCE
- The microbiome in cancer immunotherapy: Diagnostic tools and therapeutic strategies
- (2018) Laurence Zitvogel et al. SCIENCE
- Eleven quick tips for architecting biomedical informatics workflows with cloud computing
- (2018) Brian S. Cole et al. PLoS Computational Biology
- Cloud computing applications for biomedical science: A perspective
- (2018) Vivek Navale et al. PLoS Computational Biology
- Single-cell metagenomics: challenges and applications
- (2018) Yuan Xu et al. Protein & Cell
- YAMP: a containerized workflow enabling reproducibility in metagenomics research
- (2018) Alessia Visconti et al. GigaScience
- DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data
- (2018) Gustavo Arango-Argoty et al. Microbiome
- Dynamics of metatranscription in the inflammatory bowel disease gut microbiome
- (2018) Melanie Schirmer et al. Nature Microbiology
- Open data informatics and data repurposing for IBD
- (2018) Vivek A. Rudrapatna et al. Nature Reviews Gastroenterology & Hepatology
- Detecting Personalized Determinants During Drug Treatment from Omics Big Data
- (2018) Lu Wang et al. CURRENT PHARMACEUTICAL DESIGN
- Campylobacter jejuni promotes colorectal tumorigenesis through the action of cytolethal distending toxin
- (2018) Zhen He et al. GUT
- gcMeta: a Global Catalogue of Metagenomics platform to support the archiving, standardization and analysis of microbiome data
- (2018) Wenyu Shi et al. NUCLEIC ACIDS RESEARCH
- The medical science DMZ: a network design pattern for data-intensive medical science
- (2017) Sean Peisert et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Shotgun metagenomics, from sampling to analysis
- (2017) Christopher Quince et al. NATURE BIOTECHNOLOGY
- Critical Assessment of Metagenome Interpretation—a benchmark of metagenomics software
- (2017) Alexander Sczyrba et al. NATURE METHODS
- A hybrid cloud read aligner based on MinHash and kmer voting that preserves privacy
- (2017) Victoria Popic et al. Nature Communications
- Tracking microbial colonization in fecal microbiota transplantation experiments via genome-resolved metagenomics
- (2017) Sonny T. M. Lee et al. Microbiome
- Distinct gut microbiome patterns associate with consensus molecular subtypes of colorectal cancer
- (2017) Rachel V. Purcell et al. Scientific Reports
- DUDes: a top-down taxonomic profiler for metagenomics
- (2016) Vitor C. Piro et al. BIOINFORMATICS
- FMAP: Functional Mapping and Analysis Pipeline for metagenomics and metatranscriptomics studies
- (2016) Jiwoong Kim et al. BMC BIOINFORMATICS
- An integrated metagenomics pipeline for strain profiling reveals novel patterns of bacterial transmission and biogeography
- (2016) Stephen Nayfach et al. GENOME RESEARCH
- Microbiome-wide association studies link dynamic microbial consortia to disease
- (2016) Jack A. Gilbert et al. NATURE
- Strain-level microbial epidemiology and population genomics from shotgun metagenomics
- (2016) Matthias Scholz et al. NATURE METHODS
- Understanding the mechanisms of faecal microbiota transplantation
- (2016) Alexander Khoruts et al. Nature Reviews Gastroenterology & Hepatology
- Moving beyond metagenomics to find the next pandemic virus
- (2016) Vincent Racaniello PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Simultaneous dimension reduction and adjustment for confounding variation
- (2016) Zhixiang Lin et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Population-based metagenomics analysis reveals markers for gut microbiome composition and diversity
- (2016) Alexandra Zhernakova et al. SCIENCE
- Characterization of the Gut Microbiome Using 16S or Shotgun Metagenomics
- (2016) Juan Jovel et al. Frontiers in Microbiology
- The FAIR Guiding Principles for scientific data management and stewardship
- (2016) Mark D. Wilkinson et al. Scientific Data
- VIP: an integrated pipeline for metagenomics of virus identification and discovery
- (2016) Yang Li et al. Scientific Reports
- GrammR: graphical representation and modeling of count data with application in metagenomics
- (2015) Deepak Nag Ayyala et al. BIOINFORMATICS
- Large-scale machine learning for metagenomics sequence classification
- (2015) Kévin Vervier et al. BIOINFORMATICS
- Fizzy: feature subset selection for metagenomics
- (2015) Gregory Ditzler et al. BMC BIOINFORMATICS
- Methodologies and experimental platforms for generating and analysing microarray and mass spectrometry-based omics data to support P4 medicine
- (2015) Pietro H. Guzzi et al. BRIEFINGS IN BIOINFORMATICS
- Big-data-based edge biomarkers: study on dynamical drug sensitivity and resistance in individuals
- (2015) Tao Zeng et al. BRIEFINGS IN BIOINFORMATICS
- The gut microbiota and host health: a new clinical frontier
- (2015) Julian R Marchesi et al. GUT
- Microbiomes raise privacy concerns
- (2015) Ewen Callaway NATURE
- Microbiome: Microbial mystery
- (2015) Sarah DeWeerdt NATURE
- EBI metagenomics in 2016 - an expanding and evolving resource for the analysis and archiving of metagenomic data
- (2015) Alex Mitchell et al. NUCLEIC ACIDS RESEARCH
- Microbial growth dynamics and human disease
- (2015) J. A. Segre SCIENCE
- Web Resources for Metagenomics Studies
- (2015) Pravin Dudhagara et al. GENOMICS PROTEOMICS & BIOINFORMATICS
- Human Gut Microbiome and Risk for Colorectal Cancer
- (2013) Jiyoung Ahn et al. JNCI-Journal of the National Cancer Institute
- Enabling Smart Personalized Healthcare: A Hybrid Mobile-Cloud Approach for ECG Telemonitoring
- (2013) Xiaoliang Wang et al. IEEE Journal of Biomedical and Health Informatics
- Materials Scientists Look to a Data-Intensive Future
- (2012) R. F. Service SCIENCE
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