Wolfgang Huber
Molecular Biology · with Anders · 2014
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 30 citations into it; #3,288 of 17,773 by trust here, #1,663 by citations
- Genetics — 8 citations into it
Whom Wolfgang Huber trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Wolfgang Huber overall
Papers from Wolfgang Huber's perspective
Ordered by how strongly the researchers Wolfgang Huber trusts endorse each paper. Same corpus, a different order for every researcher.
- Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
- Detecting differential usage of exons from RNA-seq data (Genome Research)
- Software for Computing and Annotating Genomic Ranges (PLoS Comput. Biol.)
- Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation (Nucleic Acids Research)
- Moderated statistical tests for assessing differences in tag abundance (Bioinform.)
- HTSeq—a Python framework to work with high-throughput sequencing data (bioRxiv)
- Removing technical variability in RNA-seq data using conditional quantile normalization (Biostatistics)
- GC-Content Normalization for RNA-Seq Data (BMC Bioinformatics)
- On comparing partitions
- voom: precision weights unlock linear model analysis tools for RNA-seq read counts (Genome Biology)
Their papers
- Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 (2014) — 39,074 citations