Trang T. Le

17 papers Misc 1Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2023 J jnl
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?
J. Biomed. Informatics
Amelia L. M. Tan, Emily J. Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez-Sacristán, Trang T. Le, Arianna Dagliati, Michele Morris, David A. Hanauer, Bertrand Moal, Clara-Lea Bonzel, William Yuan, Lorenzo Chiudinelli, Priyam Das, Harrison G. Zhang, Bruce J. Aronow, Paul Avillach, Gabriel A. Brat, Tianxi Cai, Chuan Hong, William G. La Cava, He Hooi Will Loh, Yuan Luo, Shawn N. Murphy, Kee Yuan Hgiam, Gilbert S. Omenn, Lav P. Patel, Malarkodi J. Samayamuthu, Emily R. Shriver, Zahra Shakeri Hossein Abad, Byorn W. L. Tan, Shyam Visweswaran, Xuan Wang, Griffin M. Weber, Zongqi Xia, Bertrand Verdy, Qi Long, Danielle L. Mowery, John H. Holmes
2022 J jnl
Genetic Analysis of Coronary Artery Disease Using Tree-Based Automated Machine Learning Informed By Biology-Based Feature Selection.
IEEE ACM Trans. Comput. Biol. Bioinform.
Elisabetta Manduchi, Trang T. Le, Weixuan Fu, Jason H. Moore
2022 J jnl
PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods.
Bioinform.
Joseph D. Romano, Trang T. Le, William G. La Cava, John T. Gregg, Daniel J. Goldberg, Praneel Chakraborty, Natasha L. Ray, Daniel S. Himmelstein, Weixuan Fu, Jason H. Moore
2021 J jnl
REGENS: an open source Python package for simulating realistic autosomal genotypes.
J. Open Source Softw.
John T. Gregg, Trang T. Le, Jason H. Moore
2021 J jnl
TPOT-NN: augmenting tree-based automated machine learning with neural network estimators.
Genet. Program. Evolvable Mach.
Joseph D. Romano, Trang T. Le, Weixuan Fu, Jason H. Moore
2021 J jnl
treeheatr: an R package for interpretable decision tree visualizations.
Bioinform.
Trang T. Le, Jason H. Moore
2020 — conf
Expanding Polygenic Risk Scores to Include Automatic Genotype Encodings and Gene-gene Interactions.
BIOINFORMATICS
Trang T. Le, Hoyt Gong, Patryk Orzechowski, Elisabetta Manduchi, Jason H. Moore
2020 J jnl
Is deep learning necessary for simple classification tasks?
CoRR
Joseph D. Romano, Trang T. Le, Weixuan Fu, Jason H. Moore
2020 — conf
Large scale biomedical data analysis with tree-based automated machine learning.
GECCO Companion
Trang T. Le, Weixuan Fu, Jason H. Moore
2020 J jnl
Nearest-neighbor Projected-Distance Regression (NPDR) for detecting network interactions with adjustments for multiple tests and confounding.
Bioinform.
Trang T. Le, Bryan A. Dawkins, Brett A. McKinney
2020 J jnl
PMLB v1.0: an open source dataset collection for benchmarking machine learning methods.
CoRR
Trang T. Le, William G. La Cava, Joseph D. Romano, John T. Gregg, Daniel J. Goldberg, Praneel Chakraborty, Natasha L. Ray, Daniel S. Himmelstein, Weixuan Fu, Jason H. Moore
2020 J jnl
Scaling tree-based automated machine learning to biomedical big data with a feature set selector.
Bioinform.
Trang T. Le, Weixuan Fu, Jason H. Moore
2019 J jnl
STatistical Inference Relief (STIR) feature selection.
Bioinform.
Trang T. Le, Ryan J. Urbanowicz, Jason H. Moore, Brett A. McKinney
2018 — conf
Data-Driven Clinical Phenotyping of Denosumab Exposure in a Large United States Cohort.
ICHI
Trang T. Le, Matthew K. Breitenstein
2018 Misc conf
Integrated machine learning pipeline for aberrant biomarker enrichment (i-mAB): characterizing clusters of differentiation within a compendium of systemic lupus erythematosus patients.
AMIA
Trang T. Le, Nigel O. Blackwood, Jaclyn N. Taroni, Weixuan Fu, Matthew K. Breitenstein
2017 J jnl
Differential privacy-based evaporative cooling feature selection and classification with relief-F and random forests.
Bioinform.
Trang T. Le, W. Kyle Simmons, Masaya Misaki, Jerzy Bodurka, Bill C. White, Jonathan Savitz, Brett A. McKinney
2014 J jnl
Effect of air travel on the spread of an avian influenza pandemic to the United States.
Int. J. Crit. Infrastructure Prot.
Necibe Tuncer, Trang T. Le