S. Gribkova

Molecular Biology · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom S. Gribkova trusts overall

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

  1. Davide Risso

Who trusts S. Gribkova overall

  1. Romain Lopez
  2. Valentine Svensson

Papers from S. Gribkova's perspective

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

  1. Single cell RNA Seq reveals dynamic paracrine control of cellular variation (Nature)
  2. Normalization of RNA-seq data using factor analysis of control genes or samples (Nature Biotechnology)
  3. RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome (BMC Bioinformatics)
  4. GC-Content Normalization for RNA-Seq Data (BMC Bioinformatics)
  5. Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
  6. Using control genes to correct for unwanted variation in microarray data. (Biostatistics)
  7. Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex (Nature Biotechnology)
  8. A smart local moving algorithm for large-scale modularity-based community detection (European Physical Journal B : Condensed Matter Physics)
  9. Spectral Regularization Algorithms for Learning Large Incomplete Matrices
  10. MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data (Genome Biology)

Their papers