V. Gersuk
Molecular Biology · 2003–2015
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 14 citations into it
Whom V. Gersuk trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from V. Gersuk's perspective
Ordered by how strongly the researchers V. Gersuk trusts endorse each paper. Same corpus, a different order for every researcher.
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- 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)
- Data exploration, quality control and testing in single-cell qPCR-based gene expression experiments (Bioinform.)