Samuel L. Wolock
Molecular Biology · 2016–2018
A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 53 citations into it; #4,424 of 17,773 by trust here, #4,510 by citations
- Biophysics — 17 citations into it; #504 of 1,196 by trust here, #812 by citations
- Cancer Research — 6 citations into it; #1,017 of 1,780 by trust here, #1,118 by citations
Whom Samuel L. Wolock trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Allon M. Klein
- Yoav Benjamini
- Joshua E. Elias
- Caleb Weinreb
- Luke Zappia
- Vincent D. Blondel
- Leland McInnes
- Daniel T. Gillespie
- Y. Hochberg
- Chen Xu
Who trusts Samuel L. Wolock overall
- Christopher S. McGinnis
- F. Alexander Wolf
- Caleb Weinreb
- Romain Lopez
- Lyndsay M. Murrow
- Malte D. Luecken
- Fabian J Theis
- Allon M. Klein
- Alejo E. Rodriguez-Fraticelli
Papers from Samuel L. Wolock's perspective
Ordered by how strongly the researchers Samuel L. Wolock trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Smart-seq2 for sensitive full-length transcriptome profiling in single cells (Nature Methods)
- Fast unfolding of communities in large networks
- CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification. (Cell Reports)
- Visualizing Data using t-SNE
- Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis
- Single-cell chromatin accessibility reveals principles of regulatory variation (Nature)
Their papers
- Scrublet: Computational Identification of Cell Doublets in Single-Cell Transcriptomic Data (2018) — 2,265 citations
- A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure (2016) — 1,337 citations
- Fundamental limits on dynamic inference from single-cell snapshots (2017) — 343 citations
- SPRING: a kinetic interface for visualizing high dimensional single-cell expression data (2017) — 305 citations