João Pedro de Magalhães

Molecular Biology · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom João Pedro de Magalhães trusts

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

  1. Patrik D'haeseleer (in Molecular Biology)
  2. Steve Horvath (in Molecular Biology)
  3. Gerd Kempermann (in Biomedical Engineering)
  4. Réka Albert (in Statistical and Nonlinear Physics)
  5. Albert-László Barabási (in Statistical and Nonlinear Physics)
  6. Mark D. Robinson (in Molecular Biology)

Papers from João Pedro de Magalhães's perspective

Ordered by how strongly the researchers João Pedro de Magalhães 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. RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome (BMC Bioinformatics)
  3. Using Bayesian Networks to Analyze Expression Data (Annual International Conference on Research in Computational Molecular Biology)
  4. Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (Cell)
  5. Computational and analytical challenges in single-cell transcriptomics (Nature reviews genetics)
  6. Computational discovery of gene modules and regulatory networks (Nature Biotechnology)
  7. A General Framework for Weighted Gene Co-Expression Network Analysis (Statistical Applications in Genetics and Molecular Biology)
  8. Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
  9. limma powers differential expression analyses for RNA-sequencing and microarray studies
  10. A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis (Briefings Bioinform.)

Their papers