IEEE

scNMF-Impute: imputation for single-cell RNA-seq data based on nonnegative matrix factorization

Abstract: Single-cell RNA sequencing (scRNA-seq) data are collected at an unheard-of rate thanks to the advancement of high-throughput sequencing technologies. However, due to the limitations of ...
IEEE

Low Rank Matrix Differential Equations as Deep Kernel Principal Component Analysis

Abstract: The overall goal of the paper is to develop a deep kernel principal component analysis (KPCA) for time-dependent data that are nonlinearly distributed in high dimensions. Instead of ...
来自MSN

Visualizing high-dimensional data using PCA in Scikit-Learn

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and visualization. Gingrich: Time for 'national conversation' about immigrants living ...