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Andrew McDavid

Researcher at University of Rochester

Publications -  65
Citations -  8026

Andrew McDavid is an academic researcher from University of Rochester. The author has contributed to research in topics: Population & Biology. The author has an hindex of 24, co-authored 53 publications receiving 5835 citations. Previous affiliations of Andrew McDavid include Fred Hutchinson Cancer Research Center & University of Rochester Medical Center.

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MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data

Greg Finak, +11 more
- 10 Dec 2015 - 
TL;DR: This work argues that the cellular detection rate, the fraction of genes expressed in a cell, should be adjusted for as a source of nuisance variation and provides gene set enrichment analysis tailored to single-cell data.
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Common variants at MS4A4/MS4A6E, CD2AP, CD33 and EPHA1 are associated with late-onset Alzheimer's disease.

Adam C. Naj, +156 more
- 01 May 2011 - 
TL;DR: The Alzheimer Disease Genetics Consortium performed a genome-wide association study of late-onset Alzheimer disease using a three-stage design consisting of a discovery stage (stage 1), two replication stages (stages 2 and 3), and both joint analysis and meta-analysis approaches were used.
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Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease

Rebecca Sims, +487 more
- 01 Sep 2017 - 
TL;DR: Three new genome-wide significant nonsynonymous variants associated with Alzheimer's disease are observed, providing additional evidence that the microglia-mediated innate immune response contributes directly to the development of Alzheimer's Disease.
Posted ContentDOI

MAST: A flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA-seq data

Greg Finak, +11 more
- 15 Jun 2015 - 
TL;DR: A new methodology to analyze single-cell transcriptomic data is presented that models this bimodality within a coherent generalized linear modeling framework, and the cellular detection rate, the fraction of genes turned on in a cell, is introduced.
Journal ArticleDOI

Detectable clonal mosaicism from birth to old age and its relationship to cancer.

Cathy C. Laurie, +72 more
- 01 Jun 2012 - 
TL;DR: Clonal mosaicism for large chromosomal anomalies (duplications, deletions and uniparental disomy) is detected using SNP microarray data from over 50,000 subjects recruited for genome-wide association studies to identify common deleted regions with genes previously associated with hematological cancers.