Robert V. Stanton

Molecular Biology · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Robert V. Stanton trusts overall

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

  1. Mark D. Robinson
  2. Bo Li

Papers from Robert V. Stanton's perspective

Ordered by how strongly the researchers Robert V. Stanton 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. Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
  3. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  4. A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis (Briefings Bioinform.)
  5. RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome (BMC Bioinformatics)
  6. Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference
  7. Integrating diverse genomic data using gene sets (Genome Biology)
  8. Near-optimal probabilistic RNA-seq quantification (Nature Biotechnology)
  9. Computational methods for transcriptome annotation and quantification using RNA-seq (Nature Methods)
  10. c-Myc is a universal amplifier of expressed genes in lymphocytes and embryonic stem cells (Cell)

Their papers