S. van Gassen
Molecular Biology · 2015–2016
A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 28 citations into it; #11,291 of 17,773 by trust here, #9,030 by citations
- Immunology — 18 citations into it; #1,189 of 2,160 by trust here, #1,380 by citations
- Biophysics — 13 citations into it
Whom S. van Gassen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Teuvo Kohonen
- Sean Bendall
- Peng Qiu
- Erin F. Simonds
- Gábor Csárdi
- L. V. D. van der Maaten
- Robert V. Bruggner
- Nima Aghaeepour
- S. Perfetto
- K. Davis
Who trusts S. van Gassen overall
- F. Mair
- Yvan Saeys
- Miroslav Kratochvı́l
- M. Guilliams
- Charles-Antoine Dutertre
- Martin Prlic
- Etienne Becht
Papers from S. van Gassen's perspective
Ordered by how strongly the researchers S. van Gassen trusts endorse each paper. Same corpus, a different order for every researcher.
- Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum
- viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
- Visualizing Data using t-SNE
- Extracting a Cellular Hierarchy from High-dimensional Cytometry Data with SPADE (Nature Biotechnology)
- Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B cell Development (Cell)
- CRITICAL ASSESSMENT OF AUTOMATED FLOW CYTOMETRY DATA ANALYSIS TECHNIQUES (Nature Methods)
- The self-organizing map
- Automatic Classification of Cellular Expression by Nonlinear Stochastic Embedding (ACCENSE)
- FlowSOM: Using self‐organizing maps for visualization and interpretation of cytometry data
- Mass cytometry: technique for real time single cell multitarget immunoassay based on inductively coupled plasma time-of-flight mass spectrometry. (Analytical Chemistry)
Their papers
- FlowSOM: Using self‐organizing maps for visualization and interpretation of cytometry data (2015) — 1,724 citations
- Computational flow cytometry: helping to make sense of high-dimensional immunology data (2016) — 457 citations
- Unsupervised High-Dimensional Analysis Aligns Dendritic Cells across Tissues and Species (2016) — 752 citations