Matthew D. Young

Molecular Biology · bioRxiv · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew D. Young trusts overall

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

  1. Aaron T. L. Lun
  2. Mark D. Robinson
  3. Anand Rajaraman
  4. F. Alexander Wolf
  5. Rahul Satija
  6. Laleh Haghverdi
  7. Andrew W. Butler
  8. Alicia Oshlack
  9. John C. Marioni
  10. Jeffrey D. Ullman

Who trusts Matthew D. Young overall

  1. Malte D. Luecken
  2. Fabian J Theis

Papers from Matthew D. Young's perspective

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

  1. Spatial reconstruction of single-cell gene expression
  2. A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
  3. SCANPY: large-scale single-cell gene expression data analysis
  4. Massively parallel digital transcriptional profiling of single cells
  5. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
  6. Massively parallel single cell RNA-Seq for marker-free decomposition of tissues into cell types (Science)
  7. Full-length RNA-seq from single cells using Smart-seq2 (Nature Protocols)
  8. Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
  9. Bayesian approach to single-cell differential expression analysis (Nature Methods)
  10. A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor (F1000Research)

Their papers