Chimeric antigen receptor (CAR) T cell expansion and persistence represent key factors to
achieve complete responses and prevent relapses. These features are typical of early …

Immunotherapy with chimeric antigen receptor (CAR)–engineered T cells showed
exceptional successes in patients with refractory B cell malignancies. However, first-in …

Efficient learning of a data analysis task strongly depends on the data representation. Most
methods rely on (symmetric) similarity or dissimilarity representations by means of metric …

The paper investigates the acceleration of t-SNE—an embedding technique that is
commonly used for the visualization of high-dimensional data in scatter plots—using two …

Single-cell RNA-sequencing has great potential to discover cell types, identify cell states,
trace development lineages, and reconstruct the spatial organization of cells. However …

In this overview, commonly used dimensionality reduction techniques for data visualization
and their properties are reviewed. Thereby, the focus lies on an intuitive understanding of …

Progressive Visual Analytics aims at improving the interactivity in existing analytics
techniques by means of visualization as well as interaction with intermediate results. One …

Deep neural networks are now rivaling human accuracy in several pattern recognition
problems. Compared to traditional classifiers, where features are handcrafted, neural …

Novel non-parametric dimensionality reduction techniques such as t-distributed stochastic
neighbor embedding (t-SNE) lead to a powerful and flexible visualization of high …

The major cause of death after allogeneic Hematopoietic Stem Cell Transplantation (HSCT)
for acute myeloid leukemia (AML) is disease relapse. We investigated the expression of …