Stefan Peidli

Molecular Biology · 2019

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

Subfields

Whom Stefan Peidli trusts overall

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

  1. F. Alexander Wolf

Papers from Stefan Peidli's perspective

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

  1. Fast unfolding of communities in large networks
  2. Smart-seq2 for sensitive full-length transcriptome profiling in single cells (Nature Methods)
  3. SCANPY: large-scale single-cell gene expression data analysis
  4. RNA velocity of single cells (Nature)
  5. Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs
  6. PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells
  7. Diffusion pseudotime robustly reconstructs lineage branching
  8. viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
  9. Finding and evaluating community structure in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
  10. Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (Cell)

Their papers