Catharina Olsen
Molecular Biology · 2015–2019
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 34 citations into it
Whom Catharina Olsen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Catharina Olsen's perspective
Ordered by how strongly the researchers Catharina Olsen 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.)
- Small-sample estimation of negative binomial dispersion, with applications to SAGE data. (Biostatistics)
- Bioconductor: open software development for computational biology and bioinformatics (Genome Biology)
- GC-Content Normalization for RNA-Seq Data (BMC Bioinformatics)
- Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation (Nucleic Acids Research)
- voom: precision weights unlock linear model analysis tools for RNA-seq read counts (Genome Biology)
- Software for Computing and Annotating Genomic Ranges (PLoS Comput. Biol.)
- Molecular profiling reveals biologically discrete subsets and pathways of progression in diffuse glioma (Cell)
- The Immune Landscape of Cancer (Immunity)
Their papers
- TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data (2015) — 3,480 citations
- New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx (2019) — 445 citations