Wouter Saelens

Representation & Self-Supervised Learning · 2019–2022

A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Wouter Saelens trusts overall

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

  1. Laleh Haghverdi
  2. Maren Büttner

Who trusts Wouter Saelens overall

  1. Malte D. Luecken
  2. Alexander Tong
  3. Fabian J Theis
  4. K. Van den Berge
  5. Xiaojie Qiu
  6. Jessie Huang

Papers from Wouter Saelens's perspective

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

  1. Visualizing Data using t-SNE
  2. Diffusion pseudotime robustly reconstructs lineage branching
  3. Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors. (Cell)
  4. Smart-seq2 for sensitive full-length transcriptome profiling in single cells (Nature Methods)
  5. Massively parallel digital transcriptional profiling of single cells
  6. Comprehensive integration of single-cell data (bioRxiv)
  7. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias (Bioinform.)
  8. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
  9. Recovering gene interactions from single-cell data using data diffusion (Cell)
  10. Dimensionality reduction for visualizing single-cell data using UMAP

Their papers