Trang T. Le

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STatistical Inference Relief (STIR) feature selection

Jason H. Moore, Ryan J. Urbanowicz, Trang T. Le, 2018, bioRxiv.

treeheatr: an R package for interpretable decision tree visualizations

Jason H. Moore, Trang T. Le, J. Moore, 2020, bioRxiv.

Effect of air travel on the spread of an avian influenza pandemic to the United States

Trang T. Le, Necibe Tuncer, N. Tuncer, 2014, International Journal of Critical Infrastructure Protection.

Expanding Polygenic Risk Scores to Include Automatic Genotype Encodings and Gene-gene Interactions

Jason H. Moore, Trang T. Le, Patryk Orzechowski, 2020, BIOINFORMATICS.

Statistical Inference Relief (STIR) feature selection

Jason H. Moore, Ryan J. Urbanowicz, Trang T. Le, 2018 .

Differential privacy‐based evaporative cooling feature selection and classification with relief‐F and random forests

Bill C. White, Trang T. Le, Brett A. McKinney, 2017, Bioinform..

Interface to the Penn Machine Learning Benchmarks Data Repository [R package pmlbr version 0.2.0]

Jason H. Moore, Trang T. Le, makeyourownmaker, 2020 .

TPOT-NN: augmenting tree-based automated machine learning with neural network estimators pdf

Jason H. Moore, Trang T. Le, Weixuan Fu, 2020, Genetic Programming and Evolvable Machines.

Analysis of ISCB honorees and keynotes reveals disparities

Casey S. Greene, Trang T. Le, Matthew R. Gazzara, 2020, bioRxiv.

Integrated machine learning pipeline for aberrant biomarker enrichment (i-mAB): characterizing clusters of differentiation within a compendium of systemic lupus erythematosus patients

Trang T. Le, Weixuan Fu, Matthew K. Breitenstein, 2018, AMIA.

Nearest-neighbor Projected-Distance Regression (NPDR) for detecting network interactions with adjustments for multiple tests and confounding

Trang T. Le, Brett A. McKinney, Bryan A Dawkins, 2019, bioRxiv.

Data-Driven Clinical Phenotyping of Denosumab Exposure in a Large United States Cohort

Trang T. Le, Matthew K. Breitenstein, 2018, 2018 IEEE International Conference on Healthcare Informatics (ICHI).

Heatmap-Integrated Decision Tree Visualizations [R package treeheatr version 0.1.0]

Jason H. Moore, Trang T. Le, J. Moore, 2020 .

Automated versus Manual Machine Learning with Small Data for Predictions of Six-Month Outcomes Among Patients in the Intensive Care Unit

Jason H. Moore, William La Cava, Trang T. Le, 2019 .

PMLB v1.0: an open source dataset collection for benchmarking machine learning methods pdf

Jason H. Moore, William La Cava, Trang T. Le, 2020, ArXiv.

Large scale biomedical data analysis with tree-based automated machine learning

Jason H. Moore, Trang T. Le, Weixuan Fu, 2020, GECCO Companion.

REGENS: an open source Python package for simulating realistic autosomal genotypes

Trang T. Le, Jason H. Moore, John T. Gregg, 2021, J. Open Source Softw..

TPOT-NN: augmenting tree-based automated machine learning with neural network estimators

Trang T. Le, Weixuan Fu, Joseph D. Romano, 2021, Genet. Program. Evolvable Mach..

Statistical Pitfalls in Brain Age Analyses

Russell T. Shinohara, Thomas E. Nichols, Tyler M. Moore, 2020 .

A Nonlinear Simulation Framework Supports Adjusting for Age When Analyzing BrainAGE

Wesley K. Thompson, Trang T. Le, Brett A. McKinney, 2018, bioRxiv.

Labels of aberrant Clusters of Differentiation gene expression in a compendium of systemic lupus erythematosus patients

Trang T. Le, Matthew K. Breitenstein, Nigel O. Blackwood, 2018 .

Identification and replication of RNA-Seq gene network modules associated with depression severity

Bill C. White, Trang T. Le, Jerzy Bodurka, 2018, Translational Psychiatry.

Scaling tree-based automated machine learning to biomedical big data with a dataset selector

Trang T. Le, Weixuan Fu, Jason H. Moore, 2018, bioRxiv.

Effect of Ibuprofen on BrainAGE: A Randomized, Placebo-Controlled, Dose-Response Exploratory Study.

Trang T. Le, W. K. Simmons, M. Paulus, 2018, Biological psychiatry. Cognitive neuroscience and neuroimaging.

Theoretical properties of nearest-neighbor distance distributions and novel metrics for high dimensional bioinformatics data

Trang T. Le, B. McKinney, B. Dawkins, 2019, bioRxiv.

Supports Adjusting for Age When Analyzing BrainAGE.

Trang T. Le, Hung-wen Yeh, R. Kuplicki, 2018 .

Pitfalls in brain age analyses

Thomas E. Nichols, Trang T. Le, Ellyn R. Butler, 2021, Human brain mapping.

Scaling tree-based automated machine learning to biomedical big data with a feature set selector

Trang T. Le, Weixuan Fu, Jason H Moore, 2019, Bioinform..

Theoretical properties of distance distributions and novel metrics for nearest-neighbor feature selection.

Trang T. Le, B. McKinney, B. Dawkins, 2021, PloS one.

Genetic analysis of coronary artery disease using tree-based automated machine learning informed by biology-based feature selection

Trang T. Le, E. Manduchi, J. Moore, 2021, bioRxiv.

Analysis of scientific society honors reveals disparities.

Trang T. Le, Daniel S. Himmelstein, Matthew R. Gazzara, 2021, Cell systems.

Using deep neural networks and biological subwords to detect protein S-sulfenylation sites

Trang T. Le, Nguyen Quoc Khanh Le, Duyen Thi Do, 2020, Briefings Bioinform..