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Found 6 papers, 2 papers with code
Predicting Survival of Tongue Cancer Patients by Machine Learning Models
The prognostic factors identified by our method are consistent with previous clinical studies.
Tuning hyperparameters of doublet-detection methods for single-cell RNA sequencing data
The existence of doublets in single-cell RNA sequencing (scRNA-seq) data poses a great challenge in downstream data analysis.
Improving The Diagnosis of Thyroid Cancer by Machine Learning and Clinical Data
Current human assessment of thyroid nodule malignancy is prone to errors and may not guarantee an accurate preoperative diagnosis.
Prediction of Drug-Induced TdP Risks Using Machine Learning and Rabbit Ventricular Wedge Assay
The evaluation of drug-induced Torsades de pointes (TdP) risks is crucial in drug safety assessment.
Protocol for Executing and Benchmarking Eight Computational Doublet-Detection Methods in Single-Cell RNA Sequencing Data Analysis
The existence of doublets is a key confounder in single-cell RNA sequencing (scRNA-seq) data analysis.
The Duopoly Analysis of Graphics Card Market
By analyzing the duopoly market of computer graphics cards, we categorized the effects of enterprise's technological progress into two types, namely, cost reduction and product diversification.
