36 citations · 37 across the 5 of their papers we have counts for
6 papers
Predicting Survival of Tongue Cancer Patients by Machine Learning Models
Angelos Vasilopoulos, Nan Miles Xi
Tongue cancer is a common oral cavity malignancy that originates in the mouth and throat. Much effort has been invested in improving its diagnosis, treatment, and management. Surgi…
Tuning hyperparameters of doublet-detection methods for single-cell RNA sequencing data
Nan Miles Xi, Angelos Vasilopoulos
The existence of doublets in single-cell RNA sequencing (scRNA-seq) data poses a great challenge in downstream data analysis. Computational doublet-detection methods have been deve…
Prediction of Drug-Induced TdP Risks Using Machine Learning and Rabbit Ventricular Wedge Assay
Jaela Foster-Burns, Nan Miles Xi
Torsades de pointes (TdP) is an irregular heart rhythm as a side effect of drugs and may cause sudden cardiac death. A machine learning model that can accurately identify drug TdP…
Improving The Diagnosis of Thyroid Cancer by Machine Learning and Clinical Data
Nan Miles Xi, Lin Wang, Chuanjia Yang
Thyroid cancer is a common endocrine carcinoma that occurs in the thyroid gland. Much effort has been invested in improving its diagnosis, and thyroidectomy remains the primary tre…
Prediction of Drug-Induced TdP Risks Using Machine Learning and Rabbit Ventricular Wedge Assay
Nan Miles Xi, Dalong Patrick Huang
The evaluation of drug-induced Torsades de pointes (TdP) risks is crucial in drug safety assessment. In this study, we discuss machine learning approaches in the prediction of drug…
Protocol for Executing and Benchmarking Eight Computational Doublet-Detection Methods in Single-Cell RNA Sequencing Data Analysis
Nan Miles Xi, Jingyi Jessica Li
The existence of doublets is a key confounder in single-cell RNA sequencing (scRNA-seq) data analysis. Computational methods have been developed for detecting doublets from scRNA-s…