Machine Learning, Deep Learning, Data Science, Genomics, Rna Seq.
reduction in forms of t-SNE, UMAP will be soon complemented with deep learning Autoencoder based projections for complexity breakdowns to tackle non-linearity of dimensions. One of the most important aspects of dimension reduction is to capture the non-linearity of gene expression via single-cell