Peter S. Linsley
Molecular Biology · with McElrath · 2015
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 13 citations into it
Whom Peter S. Linsley trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Gordon K. Smyth (in Molecular Biology)
Papers from Peter S. Linsley's perspective
Ordered by how strongly the researchers Peter S. Linsley trusts endorse each paper. Same corpus, a different order for every researcher.
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
- RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome (BMC Bioinformatics)
- Normalization of RNA-seq data using factor analysis of control genes or samples (Nature Biotechnology)
- Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
- voom: precision weights unlock linear model analysis tools for RNA-seq read counts (Genome Biology)
- Bioconductor: open software development for computational biology and bioinformatics (Genome Biology)
- svaseq: removing batch effects and other unwanted noise from sequencing data (bioRxiv)
- Accounting for technical noise in single-cell RNA-seq experiments (Nature Methods)
- Camera: a competitive gene set test accounting for inter-gene correlation (Nucleic Acids Research)