How to visualize high-dimensional data: a roadmap

MDSpolar: A New Approach for Dimension Reduction to Visualize High Dimensional Data

Many applications in science and business such as signal analysis or costumer segmentation deal with large amounts of data which are usually high dimensional in the feature space. As a part of preprocessing and exploratory data analysis, visualization of the data helps to decide which kind of method probably leads to good results. Since the visual assessment of a feature space that has more tha...

MorphoDyn or how to visualize dynamics in high dimensions

MorphoDyn or how to visualize dynamics in high dimensions

MorphoDyn or how to visualize dynamics in high dimensions

Viewing the proteome: how to visualize proteomics data?

Proteomics has become one of the main approaches for analyzing and understanding biological systems. Yet similar to other high-throughput analysis methods, the presentation of the large amounts of obtained data in easily interpretable ways remains challenging. In this review, we present an overview of the different ways in which proteomics software supports the visualization and interpretation ...