E. Dann

Molecular Biology · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom E. Dann trusts overall

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

  1. Mark D. Robinson
  2. Gábor Csárdi
  3. Aaron T. L. Lun
  4. Davis J. McCarthy
  5. Alicia Oshlack
  6. Tamás Nepusz
  7. Michael A. Rudnicki

Papers from E. Dann's perspective

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

  1. Comprehensive integration of single-cell data (bioRxiv)
  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. Scrublet: Computational Identification of Cell Doublets in Single-Cell Transcriptomic Data (bioRxiv)
  5. The igraph software package for complex network research
  6. A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor (F1000Research)
  7. Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin (bioRxiv)
  8. Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression (Genome Biology)
  9. Robust decomposition of cell type mixtures in spatial transcriptomics (Nature Biotechnology)
  10. Pyro: Deep Universal Probabilistic Programming

Their papers