Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...
After spending time doing Machine Learning (ML) research with the goal of deepening my ML knowledge, I wanted to find a book that was well-balanced, concise and understandable, and also covered ...
This is a simplified implementation of UMAP (Uniform Manifold Approximation and Projection), programmed from scratch and applied to GEO scRNA-seq data. A project assignment for BINF6250 (Algorithmic ...
This Python program provides a comprehensive pipeline for processing ANNOVAR files, converting them into AnnData format, and generating UMAP visualizations along with various summary reports based on ...
Two-dimensional (2D) embedding methods are crucial for single-cell data visualization. Popular methods such as t-distributed stochastic neighbor embedding (t-SNE) and uniform manifold approximation ...
To understand the importance of eIF4F components, we employed computational methods on large public datasets to investigate the impact of positive selection on eIF4F dysregulation in cancer. By ...
Astrocytes are important regulators of blood flow and play a key role in the response to injury and disease in the central nervous system (CNS). Despite having an understanding that structural changes ...
STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics, Department of Electrical Engineering (ESAT), KU Leuven, 3001 Leuven, Belgium STADIUS Center for Dynamical Systems, Signal ...
Reduced-dimension or spatial in situ scatter plots are widely employed in bioinformatics papers analyzing single-cell data to present phenomena or cell-conditions of interest in cell groups. When ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results