A. Shalek
Molecular Biology · 2013–2021
A researcher in the Science corpus: 20 papers; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 433 citations into it; #9,360 of 17,773 by trust here, #750 by citations
- Genetics — 108 citations into it
Whom A. Shalek trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts A. Shalek overall
- Valentine Svensson
- Rhonda L. Bacher
- Rahul Satija
- Cole Trapnell
- Serena Liu
- Emma Pierson
- Christina Kendziorski
- Oliver Stegle
- Sarah A. Teichmann
- Dominic Grün
Papers from A. Shalek's perspective
Ordered by how strongly the researchers A. Shalek 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)
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (Cell)
- Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq. (Genome Research)
- Bayesian approach to single-cell differential expression analysis (Nature Methods)
- Single cell RNA Seq reveals dynamic paracrine control of cellular variation (Nature)
- Accounting for technical noise in single-cell RNA-seq experiments (Nature Methods)
- Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
- Quantitative assessment of single-cell RNA-sequencing methods (Nature Methods)
Their papers
- MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data (2015) — 2,717 citations
- The Human Cell Atlas (2017) — 1,788 citations
- Single cell RNA Seq reveals dynamic paracrine control of cellular variation (2014) — 990 citations
- Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells (2013) — 1,193 citations
- Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq (2016) — 4,371 citations
- Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets (2015) — 6,545 citations
- Seq-Well: A Portable, Low-Cost Platform for High-Throughput Single-Cell RNA-Seq of Low-Input Samples (2017) — 702 citations
- Reconstructing and reprogramming the tumor propagating potential of glioblastoma stem-like cells (2014) — 887 citations
- Systematic comparison of single-cell and single-nucleus RNA-sequencing methods (2020) — 723 citations
- COVID-19 tissue atlases reveal SARS-CoV-2 pathology and cellular targets (2021) — 696 citations
- SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues (2020) — 2,159 citations
- Leveraging polygenic enrichments of gene features to predict genes underlying complex traits and diseases (2020) — 305 citations
- SARS-CoV-2 Entry Genes Are Most Highly Expressed in Nasal Goblet and Ciliated Cells within Human Airways (2020) — 2,359 citations
- The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution (2020) — 482 citations
- Single-cell RNA-seq reveals AML hierarchies relevant to disease progression and immunity (2019) — 973 citations
- A Cancer Cell Program Promotes T Cell Exclusion and Resistance to Checkpoint Blockade (2018) — 692 citations
- Erratum: Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput (2017) — 220 citations
- Scaling by shrinking: empowering single-cell ‘omics’ with microfluidic devices (2017) — 302 citations
- Single-cell Genomics Unveils Critical Regulators of Th17 cell Pathogenicity (2015) — 552 citations
- Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma (2014) — 4,432 citations