Saket Kumar Choudhary

Molecular Biology · 2018–2022

A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Saket Kumar Choudhary trusts overall

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

  1. Valentine Svensson
  2. John D. Storey
  3. Christoph Hafemeister
  4. Tallulah S. Andrews
  5. Aaron T. L. Lun
  6. F. Alexander Wolf
  7. Michael I. Love
  8. Rahul Satija
  9. Tim Stuart
  10. Allon M. Klein

Papers from Saket Kumar Choudhary's perspective

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

  1. Massively parallel single cell RNA-Seq for marker-free decomposition of tissues into cell types (Science)
  2. MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data (Genome Biology)
  3. Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis
  4. SCANPY: large-scale single-cell gene expression data analysis
  5. Batch effects in single-cell RNA sequencing data are corrected by matching mutual nearest neighbours (Nature Biotechnology)
  6. Large-scale simultaneous measurement of epitopes and transcriptomes in single cells
  7. Computational and analytical challenges in single-cell transcriptomics (Nature reviews genetics)
  8. Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (Cell)
  9. A general and flexible method for signal extraction from single-cell RNA-seq data (Nature Communications)
  10. Bayesian approach to single-cell differential expression analysis (Nature Methods)

Their papers