F. W. Townes
Molecular Biology · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 68 citations into it; #9,761 of 17,773 by trust here, #10,506 by citations
Whom F. W. Townes trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alan Agresti
- Valentine Svensson
- Leland McInnes
- Christoph Hafemeister
- Rahul Satija
- Michael Collins
- Davis J. McCarthy
- Davide Risso
- Romain Lopez
- Aleksandra A. Kolodziejczyk
Who trusts F. W. Townes overall
Papers from F. W. Townes's perspective
Ordered by how strongly the researchers F. W. Townes trusts endorse each paper. Same corpus, a different order for every researcher.
- Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
- MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data (Genome Biology)
- Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (Cell)
- Massively parallel single cell RNA-Seq for marker-free decomposition of tissues into cell types (Science)
- UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
- Validation of noise models for single-cell transcriptomics (Nature Methods)
- Accounting for technical noise in single-cell RNA-seq experiments (Nature Methods)
- A general and flexible method for signal extraction from single-cell RNA-seq data (Nature Communications)
- Quantitative single-cell RNA-seq with unique molecular identifiers (Nature Methods)
- Reconstructing lineage hierarchies of the distal lung epithelium using single cell RNA-seq (Nature)
Their papers
- Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model (2019) — 457 citations
- Missing Data and Technical Variability in Single-Cell RNA-Sequencing Experiments (2017) — 92 citations