Marion Chevrier
Genome Biology · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Marion Chevrier trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Marion Chevrier's perspective
Ordered by how strongly the researchers Marion Chevrier trusts endorse each paper. Same corpus, a different order for every researcher.
- Visualizing Data using t-SNE
- Adjusting batch effects in microarray expression data using empirical Bayes methods. (Biostatistics)
- Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
- Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
- Bayesian approach to single-cell differential expression analysis (Nature Methods)
- UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
- Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes (Cell Metabolism)
- SCANPY: large-scale single-cell gene expression data analysis
- Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors. (Cell)
- Integrating single-cell transcriptomic data across different conditions, technologies, and species