Mauro Delorenzi

Molecular Biology · 2002–2019

A researcher in the Science corpus: 22 papers; trusts 45 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom Mauro Delorenzi trusts overall

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

  1. Mark D. Robinson
  2. Amos Bairoch
  3. Terence P. Speed
  4. Gordon K. Smyth
  5. Lawrence R. Rabiner
  6. Anders Krogh
  7. Andrei N. Lupas
  8. Steven Henikoff
  9. Rolf Apweiler
  10. Temple F. Smith

Who trusts Mauro Delorenzi overall

  1. Markus Gruber
  2. Mark van Breugel
  3. J. Thusberg
  4. Vikram Alva
  5. Yanjun Qi
  6. Jason Trigg
  7. A. V. McDonnell
  8. Johannes Söding
  9. Andrei N. Lupas
  10. Paul J. McMurdie

Papers from Mauro Delorenzi's perspective

Ordered by how strongly the researchers Mauro Delorenzi 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. Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments (BMC Bioinformatics)
  3. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
  4. Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
  5. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  6. Small-sample estimation of negative binomial dispersion, with applications to SAGE data. (Biostatistics)
  7. baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data (BMC Bioinformatics)
  8. Understanding mechanisms underlying human gene expression variation with RNA sequencing (Nature)
  9. The SWISS-PROT protein sequence data bank and its supplement TrEMBL
  10. Moderated statistical tests for assessing differences in tag abundance (Bioinform.)

Their papers