Trang T. Le

Orcid: 0000-0003-3737-6565

Affiliations:
  • University of Pennsylvania, Philadelphia, USA


According to our database1, Trang T. Le authored at least 16 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?
J. Biomed. Informatics, March, 2023

2022
Genetic Analysis of Coronary Artery Disease Using Tree-Based Automated Machine Learning Informed By Biology-Based Feature Selection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods.
Bioinform., 2022

2021
REGENS: an open source Python package for simulating realistic autosomal genotypes.
J. Open Source Softw., 2021

TPOT-NN: augmenting tree-based automated machine learning with neural network estimators.
Genet. Program. Evolvable Mach., 2021

treeheatr: an R package for interpretable decision tree visualizations.
Bioinform., 2021

2020
Is deep learning necessary for simple classification tasks?
CoRR, 2020

Scaling tree-based automated machine learning to biomedical big data with a feature set selector.
Bioinform., 2020

Nearest-neighbor Projected-Distance Regression (NPDR) for detecting network interactions with adjustments for multiple tests and confounding.
Bioinform., 2020

Large scale biomedical data analysis with tree-based automated machine learning.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Expanding Polygenic Risk Scores to Include Automatic Genotype Encodings and Gene-gene Interactions.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019
STatistical Inference Relief (STIR) feature selection.
Bioinform., 2019

2018
Data-Driven Clinical Phenotyping of Denosumab Exposure in a Large United States Cohort.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Integrated machine learning pipeline for aberrant biomarker enrichment (i-mAB): characterizing clusters of differentiation within a compendium of systemic lupus erythematosus patients.
Proceedings of the AMIA 2018, 2018

2017
Differential privacy-based evaporative cooling feature selection and classification with relief-F and random forests.
Bioinform., 2017

2014
Effect of air travel on the spread of an avian influenza pandemic to the United States.
Int. J. Crit. Infrastructure Prot., 2014


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