M. Okoniewski

Molecular Biology · 2013–2015

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

Whom M. Okoniewski trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Mark D. Robinson

Papers from M. Okoniewski's perspective

Ordered by how strongly the researchers M. Okoniewski trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
  2. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  3. Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
  4. RNA-Seq: a revolutionary tool for transcriptomics (Nature reviews genetics)
  5. Using control genes to correct for unwanted variation in microarray data. (Biostatistics)
  6. baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data (BMC Bioinformatics)
  7. Small-sample estimation of negative binomial dispersion, with applications to SAGE data. (Biostatistics)
  8. Moderated statistical tests for assessing differences in tag abundance (Bioinform.)
  9. Detecting differential usage of exons from RNA-seq data (Genome Research)
  10. How to map billions of short reads onto genomes (Nature Biotechnology)

Their papers