IEEE

Exploratory Analysis of the Gene Expression Matrix Based on Dual Conditional Dimensionality Reduction

Abstract: One of the major goals in gene expression data analysis is to explore and discover groups of genes and groups of biological conditions with meaningful relationships. While this problem can ...
IEEE

An Improved Conditional Wasserstein GAN With Gradient Penalty for Gene Expression Profiling Data Augmentation Based on Data Segmentation and Depth Feature Constraint

Abstract: In practical medical diagnosis, small sample sizes in gene expression profiling data can lead to overfitting. Addressing this, we leverage the potential of the Conditional Wasserstein ...