S. Picelli

Molecular Biology · 2013–2016

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom S. Picelli trusts overall

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

  1. Rickard Sandberg

Who trusts S. Picelli overall

  1. Antoine-Emmanuel Saliba
  2. Dominic Grün
  3. Aviv Regev
  4. Kimberly R. Kukurba
  5. Chen Xu
  6. Jiarui Ding
  7. Sarah A. Teichmann
  8. Hyun Min Kang
  9. Geng Chen
  10. Allon Wagner

Papers from S. Picelli's perspective

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

  1. Adjusting batch effects in microarray expression data using empirical Bayes methods. (Biostatistics)
  2. Accounting for technical noise in single-cell RNA-seq experiments (Nature Methods)
  3. Bayesian approach to single-cell differential expression analysis (Nature Methods)
  4. Tn5 transposase and tagmentation procedures for massively scaled sequencing projects (Genome Research)
  5. An Abundance of Ubiquitously Expressed Genes Revealed by Tissue Transcriptome Sequence Data (PLoS Comput. Biol.)
  6. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
  7. Alternative Isoform Regulation in Human Tissue Transcriptomes (Nature)
  8. RNA-Seq: a revolutionary tool for transcriptomics (Nature reviews genetics)
  9. Stem cell transcriptome profiling via massive-scale mRNA sequencing (Nature Methods)
  10. Analysis and design of RNA sequencing experiments for identifying isoform regulation (Nature Methods)

Their papers