M. van Iterson
Molecular Biology · 2012–2021
A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 72 citations into it
- Genetics — 34 citations into it
- Cancer Research — 10 citations into it
- Statistics and Probability — 10 citations into it
- Artificial Intelligence — 8 citations into it
Whom M. van Iterson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John D. Storey
- Eric R. Ziegel
- Michael A. Newton
- J. Shaffer
- Mark D. Robinson
- Yoav Benjamini
- Johann A. Gagnon-Bartsch
- Stuart Geman
- Eleftheria Zeggini
- Pavlos S. Efraimidis
Who trusts M. van Iterson overall
Papers from M. van Iterson's perspective
Ordered by how strongly the researchers M. van Iterson trusts endorse each paper. Same corpus, a different order for every researcher.
- A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
- Using control genes to correct for unwanted variation in microarray data. (Biostatistics)
- A direct approach to false discovery rates
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Normalization of RNA-seq data using factor analysis of control genes or samples (Nature Biotechnology)
- Multiple Hypothesis Testing
- Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation. (Nucleic Acids Research)
- The Elements of Statistical Learning
- STATISTICAL METHODS FOR IDENTIFYING DIFFERENTIALLY EXPRESSED GENES IN REPLICATED cDNA MICROARRAY EXPERIMENTS
- On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data (J. Comput. Biol.)
Their papers
- Transcriptome and genome sequencing uncovers functional variation in humans (2013) — 2,017 citations
- Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression (2021) — 1,862 citations
- Controlling bias and inflation in epigenome- and transcriptome-wide association studies using the empirical null distribution (2016) — 387 citations
- Resolving confusion of tongues in statistics and machine learning: A primer for biologists and bioinformaticians (2012) — 7 citations