Antonio Scialdone

Molecular Biology · 2015–2017

A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Antonio Scialdone trusts overall

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

  1. Simon Anders
  2. Isabelle M Guyon
  3. Donald Geman
  4. Aik Choon Tan
  5. Daniel Q. Naiman
  6. Andre´ Elisseeff
  7. Mark D. Robinson
  8. Oliver Stegle
  9. Fabian Pedregosa

Who trusts Antonio Scialdone overall

  1. Peijie Lin
  2. Malte D. Luecken
  3. Michael Troup
  4. Fabian J Theis

Papers from Antonio Scialdone's perspective

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

  1. Accounting for technical noise in single-cell RNA-seq experiments (Nature Methods)
  2. Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
  3. A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
  4. Normalization of RNA-seq data using factor analysis of control genes or samples (Nature Biotechnology)
  5. Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
  6. Scikit-learn: Machine Learning in Python
  7. Using control genes to correct for unwanted variation in microarray data. (Biostatistics)
  8. HTSeq—a Python framework to work with high-throughput sequencing data (bioRxiv)
  9. Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (Cell)
  10. Computational and analytical challenges in single-cell transcriptomics (Nature reviews genetics)

Their papers