Josef Spidlen
Immunology · 2008–2019
A researcher in the Science corpus: 6 papers; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Immunology — 137 citations into it
- Molecular Biology — 98 citations into it; #10,810 of 17,773 by trust here, #9,476 by citations
- Oncology — 28 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Representation & Self-Supervised Learning — 19 citations into it; #2,601 of 3,145 by trust here, #2,805 by citations
- Artificial Intelligence — 14 citations into it
Whom Josef Spidlen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Josef Spidlen overall
Papers from Josef Spidlen's perspective
Ordered by how strongly the researchers Josef Spidlen trusts endorse each paper. Same corpus, a different order for every researcher.
- Visualizing Data using t-SNE
- Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum
- Accelerating t-SNE using tree-based algorithms
- Clustering with t-SNE, provably
- How to Use t-SNE Effectively
- T-SNE-CUDA: GPU-Accelerated T-SNE and its Applications to Modern Data
- Stochastic Neighbor Embedding under f-divergences
- Bioconductor: open software development for computational biology and bioinformatics (Genome Biology)
- CD28 Negative T cells: is their loss our gain?
- Identification and visualization of multidimensional antigen-specific T-cell populations in polychromatic cytometry data
Their papers
- flowCore: a Bioconductor package for high throughput flow cytometry (2009) — 570 citations
- Automated Optimal Parameters for T-Distributed Stochastic Neighbor Embedding Improve Visualization and Allow Analysis of Large Datasets (2018) — 18 citations
- MIFlowCyt: The Minimum Information about a Flow Cytometry Experiment (2008) — 483 citations
- Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets (2019) — 553 citations
- FlowRepository: A resource of annotated flow cytometry datasets associated with peer‐reviewed publications (2012) — 177 citations
- Guidelines for the use of flow cytometry and cell sorting in immunological studies (2017) — 1,146 citations