A. Sveen

Molecular Biology · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom A. Sveen trusts overall

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

  1. Yujin Hoshida

Papers from A. Sveen's perspective

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

  1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  2. Removing technical variability in RNA-seq data using conditional quantile normalization (Biostatistics)
  3. Comprehensive Molecular Characterization of Human Colon and Rectal Cancer (Nature)
  4. voom: precision weights unlock linear model analysis tools for RNA-seq read counts (Genome Biology)
  5. limma powers differential expression analyses for RNA-sequencing and microarray studies
  6. A colorectal cancer classification system that associates cellular phenotype and responses to therapy (Nature Medicine)
  7. The Reactome pathway knowledgebase (Nucleic Acids Res.)
  8. affy - analysis of Affymetrix GeneChip data at the probe level (Bioinform.)
  9. Tackling the widespread and critical impact of batch effects in high-throughput data
  10. GSVA: gene set variation analysis for microarray and RNA-Seq data (BMC Bioinformatics)

Their papers