Joseph E. Powell
Statistics and Probability · 2008–2021
A researcher in the Science corpus: 11 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 8 citations into it
- Artificial Intelligence — 6 citations into it
Whom Joseph E. Powell trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Joseph E. Powell overall
Papers from Joseph E. Powell's perspective
Ordered by how strongly the researchers Joseph E. Powell trusts endorse each paper. Same corpus, a different order for every researcher.
- The Human Cell Atlas
- SCANPY: large-scale single-cell gene expression data analysis
- Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes and progenitors (Science)
- FTO Obesity Variant Circuitry and Adipocyte Browning in Humans (New England Journal of Medicine)
- Mendelian randomization: genetic anchors for causal inference in epidemiological studies (Human Molecular Genetics)
- Defining cell types and states with single-cell genomics
- Single-cell messenger RNA sequencing reveals rare intestinal cell types (Nature)
- Principal components analysis corrects for stratification in genome-wide association studies
- 'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease? (International Journal of Epidemiology)
- CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq (Genome Biology)
Their papers
- Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets (2016) — 2,949 citations
- Systematic identification of trans-eQTLs as putative drivers of known disease associations (2013) — 1,732 citations
- The transcriptional landscape of age in human peripheral blood (2015) — 654 citations
- Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis (2018) — 511 citations
- Benchmarking of cell type deconvolution pipelines for transcriptomics data (2020) — 369 citations
- scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data (2019) — 401 citations
- A single-cell and spatially resolved atlas of human breast cancers (2021) — 1,379 citations
- Nebulosa recovers single cell gene expression signals by kernel density estimation (2020) — 312 citations
- SARS-CoV-2 Entry Genes Are Most Highly Expressed in Nasal Goblet and Ciliated Cells within Human Airways (2020) — 2,359 citations
- Defining the role of common variation in the genomic and biological architecture of adult human height (2014)
- Genetic parameters of production traits in Atlantic salmon (Salmo salar) (2008) — 126 citations