Marlon Stoeckius
Molecular Biology · 2017–2020
A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 108 citations into it; #10,664 of 17,773 by trust here, #2,226 by citations
Whom Marlon Stoeckius trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marvin N. Wright
- Vincent D. Blondel
- Allon M. Klein
- Rahul Satija
- Andreas Ziegler
- Hyun Min Kang
- Christoph Hafemeister
Who trusts Marlon Stoeckius overall
- Tim Stuart
- Rahul Satija
- Romain Lopez
- Christoph Hafemeister
- Adam Gayoso
- Jeffrey C. Regier
- Marinka Zitnik
- Anna C. Belkina
- Andrew W. Butler
- Chenling A. Xu
Papers from Marlon Stoeckius's perspective
Ordered by how strongly the researchers Marlon Stoeckius trusts endorse each paper. Same corpus, a different order for every researcher.
- Massively parallel single cell RNA-Seq for marker-free decomposition of tissues into cell types (Science)
- Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (Cell)
- Full-length RNA-seq from single cells using Smart-seq2 (Nature Protocols)
- Spatial reconstruction of single-cell gene expression
- Computational and analytical challenges in single-cell transcriptomics (Nature reviews genetics)
- Fast unfolding of communities in large networks
- Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis
- UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
- Distance Metric Learning for Large Margin Nearest Neighbor Classification
Their papers
- Comprehensive integration of single-cell data (2018) — 13,024 citations
- Large-scale simultaneous measurement of epitopes and transcriptomes in single cells (2017) — 2,234 citations
- Integrated analysis of multimodal single-cell data (2020) — 12,409 citations
- Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics (2018) — 899 citations