Radislav Sedlacek

2018–2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Radislav Sedlacek trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. L. V. D. van der Maaten (in Computer Vision and Pattern Recognition)

Papers from Radislav Sedlacek's perspective

Ordered by how strongly the researchers Radislav Sedlacek trusts endorse each paper. Same corpus, a different order for every researcher.

1. Accelerating t-SNE using tree-based algorithms
2. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
3. Computational flow cytometry: helping to make sense of high-dimensional immunology data (Nature reviews. Immunology)
4. Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis
5. Dimensionality reduction for visualizing single-cell data using UMAP
6. Approximated and User Steerable tSNE for Progressive Visual Analytics
7. FlowSOM: Using self‐organizing maps for visualization and interpretation of cytometry data
8. Comparison of Clustering Methods for High-Dimensional Single-Cell Flow and Mass Cytometry Data
9. Automated Optimal Parameters for T-Distributed Stochastic Neighbor Embedding Improve Visualization and Allow Analysis of Large Datasets
10. Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types

Their papers

• SOM-based embedding improves efficiency of high-dimensional cytometry data analysis (2019)
• Identification of genetic elements in metabolism by high-throughput mouse phenotyping (2018) — 67 citations