Author
Anqi Dai
Memorial Sloan Kettering Cancer CenterORCID 0000-0003-3106-4624Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
Click to filter author papersSignature Assays, Organisms & Methods
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2021-2026 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 45 mutual co-author links5 papers
Recent·Most cited
- Cancer BiologybioRxivPreprint
Dietary fiber intake associates with improved survival and microbiomecomposition in allogeneic hematopoietic cell transplantation
Jenny Paredes, Tyler Funnell, Peter A. Adintori…·Marcel R.M. van den Brink
This study shows that higher dietary fiber intake improves survival and reduces GVHD in hematopoietic cell transplant patients, with microbiome-mediated effects.
DOI 10.64898/2026.06.03.729896 - BioinformaticsbioRxivPreprint
Correlating High-dimensional longitudinal microbial features with time-varying outcomes with FLORAL
Teng Fei, Victoria Donovan, Tyler Funnell…·Jonathan U. Peled
The paper introduces FLORAL, a method for analyzing longitudinal microbiome data to identify biomarkers associated with time-varying outcomes, showing improved sensitivity and FDR control in simulations and real-world applications.
1 citation - BioinformaticsCell Reports MethodsPeer-reviewed
Enhanced Feature Selection for Microbiome Data using FLORAL: Scalable Log-ratio Lasso Regression
Teng Fei, Tyler Funnell, Nicholas R. Waters…·Marcel R.M. van den Brink
FLORAL improves microbial feature selection for microbiome data by addressing survival endpoints, longitudinal samples, and sequencing biases, showing better false-positive control and sensitivity in simulations and real data.
17 citationstop 3% - Systems BiologybioRxivPreprint
A compilation of fecal microbiome shotgun metagenomics from hospitalized patients undergoing hematopoietic cell transplantation
Jinyuan Yan, Chen Liao, Bradford P. Taylor…·João B. Xavier
The paper compiles shotgun metagenomic data from stool samples of hospitalized hematopoietic cell transplant patients to enhance microbiome analysis beyond taxonomic composition.
3 citations