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。Learning sparse log-ratios for high-throughput sequencing data
Elliott Gordon-Rodriguez et al.
BIOINFORMATICS (2022)
Gut microbiome stability and resilience: elucidating the response to perturbations in order to modulate gut health
Marina Fassarella et al.
GUT (2021)
GutBalance: a server for the human gut microbiome-based disease prediction and biomarker discovery with compositionality addressed
Fenglong Yang et al.
BRIEFINGS IN BIOINFORMATICS (2021)
Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions
Isabel Moreno-Indias et al.
FRONTIERS IN MICROBIOLOGY (2021)
Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment
Laura Judith Marcos-Zambrano et al.
FRONTIERS IN MICROBIOLOGY (2021)
DisBalance: a platform to automatically build balance-based disease prediction models and discover microbial biomarkers from microbiome data
Fenglong Yang et al.
BRIEFINGS IN BIOINFORMATICS (2021)
Interpretable Log Contrasts for the Classification of Health Biomarkers: a New Approach to Balance Selection
Thomas P. Quinn et al.
MSYSTEMS (2020)
A Framework for Effective Application of Machine Learning to Microbiome-Based Classification Problems
Begüm D. Topçuoğlu et al.
mBio (2020)
MicroPhenoDB Associates Metagenomic Data with Pathogenic Microbes, Microbial Core Genes, and Human Disease Phenotypes
Guocai Yao et al.
GENOMICS PROTEOMICS & BIOINFORMATICS (2020)
Variable selection in microbiome compositional data analysis
Antoni Susin et al.
NAR GENOMICS AND BIOINFORMATICS (2020)
Editorial: Compositional data analysis and related methods applied to genomics-a first special issue from NAR Genomics and Bioinformatics
Ionas Erb et al.
NAR GENOMICS AND BIOINFORMATICS (2020)
Amalgams: data-driven amalgamation for the dimensionality reduction of compositional data
Thomas P. Quinn et al.
NAR GENOMICS AND BIOINFORMATICS (2020)
mAML: an automated machine learning pipeline with a microbiome repository for human disease classification
Fenglong Yang et al.
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION (2020)
A Novel Sparse Compositional Technique Reveals Microbial Perturbations
Cameron Martino et al.
MSYSTEMS (2019)
Microbiome Learning Repo (ML Repo): A public repository of microbiome regression and classification tasks
Pajau Vangay et al.
GIGASCIENCE (2019)
Compositional data: the sample space and its structure
Juan Jose Egozcue et al.
TEST (2019)
A field guide for the compositional analysis of any-omics data
Thomas P. Quinn et al.
GIGASCIENCE (2019)
What is the Healthy Gut Microbiota Composition? A Changing Ecosystem across Age, Environment, Diet, and Diseases
Emanuele Rinninella et al.
MICROORGANISMS (2019)
Advances in Principal Balances for Compositional Data
J. A. Martin-Fernandez et al.
MATHEMATICAL GEOSCIENCES (2018)
KERNEL-PENALIZED REGRESSION FOR ANALYSIS OF MICROBIOME DATA
Timothy W. Randolph et al.
ANNALS OF APPLIED STATISTICS (2018)
Understanding sequencing data as compositions: an outlook and review
Thomas P. Quinn et al.
BIOINFORMATICS (2018)
American Gut: an Open Platform for Citizen Science Microbiome Research
Daniel McDonald et al.
MSYSTEMS (2018)
Balances: a New Perspective for Microbiome Analysis
J. Rivera-Pinto et al.
MSYSTEMS (2018)
Linear Association in Compositional Data Analysis
Juan Jose Egozcue et al.
AUSTRIAN JOURNAL OF STATISTICS (2018)
A phylogenetic transform enhances analysis of compositional microbiota data
Justin D. Silverman et al.
ELIFE (2017)
Microbiome Datasets Are Compositional: And This Is Not Optional
Gregory B. Gloor et al.
FRONTIERS IN MICROBIOLOGY (2017)
Phylogenetic factorization of compositional data yields lineage-level associations in microbiome datasets
Alex D. Washburne et al.
PEERJ (2017)
Balance Trees Reveal Microbial Niche Differentiation
James T. Morton et al.
MSYSTEMS (2017)
Microbiota: a key orchestrator of cancer therapy
Soumen Roy et al.
NATURE REVIEWS CANCER (2017)
It's all relative: analyzing microbiome data as compositions
Gregory B. Gloor et al.
ANNALS OF EPIDEMIOLOGY (2016)
Compositional analysis: a valid approach to analyze microbiome high-throughput sequencing data
Gregory B. Gloor et al.
CANADIAN JOURNAL OF MICROBIOLOGY (2016)
Metagenome-wide association studies: fine-mining the microbiome
Jun Wang et al.
NATURE REVIEWS MICROBIOLOGY (2016)
Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights
Edoardo Pasolli et al.
PLOS COMPUTATIONAL BIOLOGY (2016)
CCLasso: correlation inference for compositional data through Lasso
Huaying Fang et al.
BIOINFORMATICS (2015)
zCompositions - R Package for multivariate imputation of left-censored data under a compositional approach
Javier Palarea-Albaladejo et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2015)
Sparse and Compositionally Robust Inference of Microbial Ecological Networks
Zachary D. Kurtz et al.
PLOS COMPUTATIONAL BIOLOGY (2015)
Proportionality: A Valid Alternative to Correlation for Relative Data
David Lovell et al.
PLOS COMPUTATIONAL BIOLOGY (2015)
Microbiome, Metagenomics, and High-Dimensional Compositional Data Analysis
Hongzhe Li
ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 2 (2015)
Sparse principal balances
Mehmet Can Mert et al.
STATISTICAL MODELLING (2015)
Altered profile of human gut microbiome is associated with cirrhosis and its complications
Jasmohan S. Bajaj et al.
JOURNAL OF HEPATOLOGY (2014)
Alterations of the human gut microbiome in liver cirrhosis
Nan Qin et al.
NATURE (2014)
A Taxonomic Signature of Obesity in the Microbiome? Getting to the Guts of the Matter
Mariel M. Finucane et al.
PLOS ONE (2014)
The Impact of the Gut Microbiota on Human Health: An Integrative View
Jose C. Clemente et al.
CELL (2012)
Characterization of Fecal Microbial Communities in Patients with Liver Cirrhosis
Yanfei Chen et al.
HEPATOLOGY (2011)
Balance-dendrogram. A new routine of CoDaPack
S. Thio-Henestrosa et al.
COMPUTERS & GEOSCIENCES (2008)
Groups of parts and their balances in compositional data analysis
JJ Egozcue et al.
MATHEMATICAL GEOLOGY (2005)
Isometric logratio transformations for compositional data analysis
JJ Egozcue et al.
MATHEMATICAL GEOLOGY (2003)
Geometric approach to statistical analysis on the simplex
V Pawlowsky-Glahn et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2001)