K. Engelen

Molecular Biology · 2008

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom K. Engelen trusts overall

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

  1. Gordon K. Smyth

Papers from K. Engelen's perspective

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

  1. Assessing Gene Significance from cDNA Microarray Expression Data via Mixed Models (J. Comput. Biol.)
  2. Normalization of cDNA microarray data. (Methods)
  3. Use of within-array replicate spots for assessing differential expression in microarray experiments (Bioinform.)
  4. Bioconductor: open software development for computational biology and bioinformatics (Genome Biology)
  5. On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data (J. Comput. Biol.)
  6. Issues in cDNA microarray analysis: quality filtering, channel normalization, models of variations and assessment of gene effects. (Nucleic Acids Research)
  7. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
  8. On parametric empirical Bayes methods for comparing multiple groups using replicated gene expression profiles (Statistics in Medicine)
  9. Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation. (Nucleic Acids Research)
  10. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias (Bioinform.)

Their papers