Luke Zappia

Molecular Biology · 2017–2023

A researcher in the Science corpus: 5 papers; trusts 34 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Luke Zappia trusts overall

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

  1. R. Fisher
  2. Rahul Satija
  3. Mark D. Robinson
  4. Gábor Csárdi
  5. Aaron T. L. Lun
  6. Emma Pierson
  7. Asa Ben-Hur
  8. M. Delignette-Muller
  9. Vincent D. Blondel
  10. Charlotte Soneson

Who trusts Luke Zappia overall

  1. Malte D. Luecken
  2. Olga Zagovora
  3. Christopher S. McGinnis
  4. Samuel L. Wolock
  5. Aleksandr Ianevski
  6. Tian Tian
  7. Hoa T M Tran
  8. Kelly Street
  9. Fabian J Theis
  10. Roberto Ulloa

Papers from Luke Zappia's perspective

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

  1. MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data (Genome Biology)
  2. Bayesian approach to single-cell differential expression analysis (Nature Methods)
  3. SCANPY: large-scale single-cell gene expression data analysis
  4. Spatial reconstruction of single-cell gene expression
  5. Fast unfolding of communities in large networks
  6. Pooling across cells to normalize single-cell RNA sequencing data with many zero counts (Genome Biology)
  7. Computational and analytical challenges in single-cell transcriptomics (Nature reviews genetics)
  8. Visualization and analysis of gene expression in tissue sections by spatial transcriptomics (Science)
  9. STAR: ultrafast universal RNA-seq aligner (Bioinform.)
  10. Normalization of RNA-seq data using factor analysis of control genes or samples (Nature Biotechnology)

Their papers