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Multivariable association discovery in population-scale meta-omics studies

PLoS computational biology, 2021-11, Vol.17 (11), p.e1009442

2021

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Assessment of variation in microbial community amplicon sequencing by the Microbiome Quality Control (MBQC) project consortium

Nature biotechnology, 2017-11, Vol.35 (11), p.1077-1086

2017

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A Bayesian method for detecting pairwise associations in compositional data

PLoS computational biology, 2017-11, Vol.13 (11), p.e1005852-e1005852

2017

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Reprograming of gut microbiome energy metabolism by the FUT2 Crohn's disease risk polymorphism

The ISME Journal, 2014-11, Vol.8 (11), p.2193-2206

2014

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A statistical model for describing and simulating microbial community profiles

PLoS computational biology, 2021-09, Vol.17 (9), p.e1008913

2021

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Integrative analysis of the microbiome and metabolome of the human intestinal mucosal surface reveals exquisite inter-relationships

Microbiome, 2013-06, Vol.1 (1), p.17-17, Article 17

2013

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Association of systolic, diastolic, mean, and pulse pressure with morbidity and mortality in septic ICU patients: a nationwide observational study

Annals of intensive care, 2023-02, Vol.13 (1), p.9-9, Article 9

2023

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Machine learning prediction of the total duration of invasive and non-invasive ventilation During ICU Stay

PLOS digital health, 2023-09, Vol.2 (9), p.e0000289-e0000289

2023

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Fluoride Depletes Acidogenic Taxa in Oral but Not Gut Microbial Communities in Mice

mSystems, 2017-07, Vol.2 (4)

2017

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Accurate and interpretable prediction of ICU-acquired AKI

Journal of critical care, 2023-06, Vol.75, p.154278-154278, Article 154278

2023

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High-sensitivity pattern discovery in large, paired multiomic datasets

Bioinformatics, 2022-06, Vol.38 (Supplement_1), p.i378-i385

2022

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Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning

Clinical kidney journal, 2021-05, Vol.14 (5), p.1428-1435

2021

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Estimation of Baseline Serum Creatinine with Machine Learning

American journal of nephrology, 2021-11, Vol.52 (9), p.753-762

2021

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Including urinary output to define AKI enhances the performance of machine learning models to predict AKI at admission

Journal of critical care, 2021-04, Vol.62, p.283-288

2021

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Statistical Methods for Sequence-Based Microbial Community Assays

Schwager, Emma Holdrich

2017

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ProQuest

Sa1800 The Crohn's Disease Risk Locus FUT2 Selects for Microbial Functional Specialization in Normal Individuals That Predisposes to IBD Susceptibility

Gastroenterology (New York, N.Y. 1943), 2013-05, Vol.144 (5), p.S-309-S-309

2013

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850a The treatment-naive microbiome in early-onset Crohn's Disease

Gastroenterology (New York, N.Y. 1943), 2014-05, Vol.146 (5), p.S-144-S-144

2014

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Genomic Sequencing and Other Tools for Studying Microbial Communities: Genomics and “meta'omic” tools are enabling us to explore the microbiome from three complementary perspectives–taxonomic, functional, and ecological

Microbe (Washington, D.C.), 2015-10, Vol.10 (10), p.419-425

2015

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Structural basis for the inhibition of human angiotensin‐1 converting enzyme by fosinoprilat

The FEBS journal, 2022-11, Vol.289 (21), p.6659-6671

2022

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Acute effects of commercial energy drink consumption on exercise performance and cardiovascular safety: a randomized, double-blind, placebo-controlled, crossover trial

Journal of the International Society of Sports Nutrition, 2024-12, Vol.21 (1), p.2297988-2297988

2024

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Structural basis for the C-domain-selective angiotensin-converting enzyme inhibition by bradykinin-potentiating peptide b (BPPb)

Biochemical journal, 2019-05, Vol.476 (10), p.1553-1570

2019

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Multivariable association discovery in population-scale meta-omics studies

Assessment of variation in microbial community amplicon sequencing by the Microbiome Quality Control (MBQC) project consortium

The Treatment-Naive Microbiome in New-Onset Crohn’s Disease

A Bayesian method for detecting pairwise associations in compositional data

Reprograming of gut microbiome energy metabolism by the FUT2 Crohn's disease risk polymorphism

A statistical model for describing and simulating microbial community profiles

Integrative analysis of the microbiome and metabolome of the human intestinal mucosal surface reveals exquisite inter-relationships

Association of systolic, diastolic, mean, and pulse pressure with morbidity and mortality in septic ICU patients: a nationwide observational study

Machine learning prediction of the total duration of invasive and non-invasive ventilation During ICU Stay

Fluoride Depletes Acidogenic Taxa in Oral but Not Gut Microbial Communities in Mice

Accurate and interpretable prediction of ICU-acquired AKI

High-sensitivity pattern discovery in large, paired multiomic datasets

Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning

Estimation of Baseline Serum Creatinine with Machine Learning

Including urinary output to define AKI enhances the performance of machine learning models to predict AKI at admission

Statistical Methods for Sequence-Based Microbial Community Assays

Sa1800 The Crohn's Disease Risk Locus FUT2 Selects for Microbial Functional Specialization in Normal Individuals That Predisposes to IBD Susceptibility

850a The treatment-naive microbiome in early-onset Crohn's Disease

Genomic Sequencing and Other Tools for Studying Microbial Communities: Genomics and “meta'omic” tools are enabling us to explore the microbiome from three complementary perspectives–taxonomic, functional, and ecological

Structural basis for the inhibition of human angiotensin‐1 converting enzyme by fosinoprilat

Acute effects of commercial energy drink consumption on exercise performance and cardiovascular safety: a randomized, double-blind, placebo-controlled, crossover trial

Structural basis for the C-domain-selective angiotensin-converting enzyme inhibition by bradykinin-potentiating peptide b (BPPb)

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