Martin T. Morgan

Molecular Biology · Nature Methods · 2013–2021

A researcher in the Science corpus: 9 papers; trusts 16 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Martin T. Morgan trusts overall

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

  1. Jeffrey T. Leek
  2. Aaron T. L. Lun
  3. Mark D. Robinson
  4. Gordon K. Smyth
  5. L. V. D. van der Maaten
  6. Chen Xu

Who trusts Martin T. Morgan overall

  1. Malte D. Luecken
  2. Matthew D. Young
  3. Yuqi Tan

Papers from Martin T. Morgan's perspective

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

  1. A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
  2. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  3. Normalization of RNA-seq data using factor analysis of control genes or samples (Nature Biotechnology)
  4. HTSeq—a Python framework to work with high-throughput sequencing data (bioRxiv)
  5. Visualizing Data using t-SNE
  6. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
  7. Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference
  8. Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
  9. Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (Cell)
  10. Massively parallel single cell RNA-Seq for marker-free decomposition of tissues into cell types (Science)

Their papers