Sonja Hänzelmann

Molecular Biology · 2013

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Sonja Hänzelmann trusts overall

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

  1. Gordon K. Smyth
  2. Robert Tibshirani
  3. Bradley Efron
  4. Rafael A. Irizarry
  5. Eric Bair
  6. Purvesh Khatri
  7. Mark D. Robinson
  8. Kasper D. Hansen
  9. William T. Barry
  10. W. Johnson

Who trusts Sonja Hänzelmann overall

  1. D. Aran
  2. Peter W Eide
  3. D. Quail
  4. Ana Conesa
  5. Zicheng Hu
  6. J. Bruun

Papers from Sonja Hänzelmann's perspective

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

  1. Discovering statistically significant pathways in expression profiling studies. (Proceedings of the National Academy of Sciences of the United States of America)
  2. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
  3. From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
  4. On testing the significance of sets of genes
  5. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  6. Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
  7. Significance analysis of functional categories in gene expression studies: a structured permutation approach (Bioinform.)
  8. Understanding mechanisms underlying human gene expression variation with RNA sequencing (Nature)
  9. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  10. Summaries of Affymetrix GeneChip probe level data. (Nucleic Acids Research)

Their papers