Anja von Heydebreck

Intelligent Systems in Molecular Biology · 2002–2024

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

Whom Anja von Heydebreck trusts overall

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

1. Yoav Benjamini
2. David M. Rocke
3. M. Kerr
4. Y. Hochberg

Who trusts Anja von Heydebreck overall

1. Gordon K. Smyth
2. Songxi Chen
3. Simon M. Lin
4. Jelle J. Goeman
5. Laurent Gautier

Papers from Anja von Heydebreck's perspective

Ordered by how strongly the researchers Anja von Heydebreck 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. On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data (J. Comput. Biol.)
3. A Model for Measurement Error for Gene Expression Arrays (J. Comput. Biol.)
4. A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes (Bioinform.)
5. Analysis of Variance for Gene Expression Microarray Data (J. Comput. Biol.)
6. STATISTICAL METHODS FOR IDENTIFYING DIFFERENTIALLY EXPRESSED GENES IN REPLICATED cDNA MICROARRAY EXPERIMENTS
7. Multiple Hypothesis Testing
8. THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
9. A direct approach to false discovery rates
10. Replicated microarray data

Their papers

• Variance stabilization applied to microarray data calibration and to the quantification of differential expression (2002) — 2,594 citations
• Differential Gene Expression (2024) — 134 citations