A. Plantinga

发表

Genome-wide Association Study of Platelet Count Identifies Ancestry-Specific Loci in Hispanic/Latino Americans.

Kathleen F. Kerr, Stephanie A. Bien, Sarah C. Nelson, 2016, American journal of human genetics.

Local Ancestry Inference in a Large US-Based Hispanic/Latino Study: Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

R. Kaplan, A. Stilp, C. Laurie, 2016, G3: Genes, Genomes, Genetics.

Stool Microbiota at Neutrophil Recovery Is Predictive for Severe Acute Graft vs Host Disease After Hematopoietic Cell Transplantation

A. Plantinga, Michael C. Wu, D. Fredricks, 2017, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

Whole genome comparison of a large collection of mycobacteriophages reveals a continuum of phage genetic diversity

John Vu, Eric Mayer, J. Paul Robinson, 2015, eLife.

Cardiovascular tissue engineering and regeneration based on adipose tissue-derived stem / stromal cells

R. Coronel, J. D. Bakker, A. Plantinga, 2016 .

MiRKAT-S Package

A. Plantinga, 2016 .

A Kernel-based Test of Independence for Cluster-correlated Data

A. Plantinga, Michael C. Wu, Yunhua Xiang, 2021, NeurIPS.

Title : Powerful Genetic Association Analysis for Common or Rare Variants with High Dimensional Structured Traits Running Title : DKAT for Genetic Association Studies

M. Epstein, K. Conneely, T. Thornton, 2017 .

Vaginal and Extra-Vaginal Bacterial Colonization and Risk for Incident Bacterial Vaginosis in a Population of Women Who Have Sex With Men

S. Proll, J. Marrazzo, A. Plantinga, 2020, The Journal of infectious diseases.

A Comprehensive Self-Management Program With Diet Education Does Not Alter Microbiome Characteristics in Women With Irritable Bowel Syndrome

M. Heitkemper, K. Kamp, P. Barney, 2021, Biological research for nursing.

Bioanalytical Screening of Riboflavin Antagonists for Targeted Drug Delivery - A Thermodynamic and Kinetic Study.

A. Plantinga, M. B. Banaszak Holl, B. Orr, 2011, ACS medicinal chemistry letters.

Genetic history of the population of Crete

J. Stamatoyannopoulos, K. Kidd, P. Paschou, 2019, Annals of human genetics.

Genetics of the peloponnesean populations and the theory of extinction of the medieval peloponnesean Greeks

J. Stamatoyannopoulos, K. Kidd, P. Paschou, 2017, European Journal of Human Genetics.

Beta Diversity and Distance-Based Analysis of Microbiome Data

A. Plantinga, Michael C. Wu, Michael C. Wu, 2021, Statistical Analysis of Microbiome Data.

Effect of stevia on the gut microbiota and glucose tolerance in a murine model of diet-induced obesity.

G. Suen, S. Swoap, A. Plantinga, 2020, FEMS microbiology ecology.

Powerful Genetic Association Analysis for Common or Rare Variants with High-Dimensional Structured Traits

Xiang Zhan, Michael P Epstein, Michael C Wu, 2017, Genetics.

A small‐sample kernel association test for correlated data with application to microbiome association studies

Xiang Zhan, Michael C Wu, Lingzhou Xue, 2018, Genetic epidemiology.

Kernel-based genetic association analysis for microbiome phenotypes identifies host genetic drivers of beta-diversity

X. Hua, R. Burk, R. Kaplan, 2021, bioRxiv.

Pldist: Ecological Dissimilarities for Paired and Longitudinal Microbiome Association Analysis

Anna M Plantinga, Jun Chen, Robert R Jenq, 2019, Bioinform..

MiRKAT-S: a community-level test of association between the microbiota and survival times

Xiang Zhan, Jun Chen, Anna Plantinga, 2017, Microbiome.

Exploration of associations among dietary tryptophan, microbiome composition and function, and symptom severity in irritable bowel syndrome

M. Heitkemper, K. Kamp, K. Cain, 2023, Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society.

Associations between improvement in genitourinary symptoms of menopause and changes in the vaginal ecosystem

A. LaCroix, K. Newton, S. Reed, 2017, Menopause.

Metabolite trajectories across the perinatal period and mental health: A preliminary study of tryptophan-related metabolites, bile acids and microbial composition

R. Knickmeyer, S. Meltzer-Brody, A. Plantinga, 2021, Behavioural Brain Research.

Testing microbiome association using integrated quantile regression models

Xiang Zhan, Michael C. Wu, Wodan Ling, 2021, Bioinform..

Accommodating multiple potential normalizations in microbiome associations studies

A. Plantinga, Michael C. Wu, Ni Zhao, 2023, BMC Bioinformatics.

Powerful and robust non-parametric association testing for microbiome data via a zero-inflated quantile approach (ZINQ)

A. Fodor, L. Launer, A. Plantinga, 2021, Microbiome.

A fast small‐sample kernel independence test for microbiome community‐level association analysis

Xiang Zhan, Michael C Wu, Anna Plantinga, 2017, Biometrics.

Batch effects removal for microbiome data via conditional quantile regression (ConQuR)

A. Fodor, L. Launer, J. White, 2021, bioRxiv.

MiRKAT: kernel machine regression-based global association tests for the microbiome

Xiang Zhan, Hongzhe Li, Jun Chen, 2020, Bioinform..

Impact of Data and Study Characteristics on Microbiome Volatility Estimates

A. Plantinga, Daniel J Park, 2023, Genes.

Batch effects removal for microbiome data via conditional quantile regression

A. Fodor, L. Launer, J. White, 2022, Nature Communications.