M
Matthew A. Zapala
Researcher at University of California, San Francisco
Publications - 41
Citations - 1593
Matthew A. Zapala is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Medicine & Gene. The author has an hindex of 14, co-authored 35 publications receiving 1377 citations. Previous affiliations of Matthew A. Zapala include Harvard University & Salk Institute for Biological Studies.
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Journal ArticleDOI
Elevated gene expression levels distinguish human from non-human primate brains
Mario Cáceres,Joël Lachuer,Matthew A. Zapala,John C. Redmond,Lili Kudo,Daniel H. Geschwind,David J. Lockhart,Todd M. Preuss,Carrolee Barlow +8 more
TL;DR: The results indicate that the human brain displays a distinctive pattern of gene expression relative to non-human primates, with higher expression levels for many genes belonging to a wide variety of functional classes.
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Multivariate regression analysis of distance matrices for testing associations between gene expression patterns and related variables
TL;DR: The proposed multivariate method avoids the need for reducing the dimensions of a similarity matrix, can be used to assess relationships between the genes used to construct the matrix and additional information collected on the samples under study, and can be use to analyze individual genes or groups of genes identified in different ways.
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Adult mouse brain gene expression patterns bear an embryologic imprint
Matthew A. Zapala,Iiris Hovatta,Julie A. Ellison,Lisa Wodicka,Jo A. Del Rio,Richard S. Tennant,Wendy Tynan,Ron S. Broide,Rob Helton,Barbara S. Stoveken,Christopher J. Winrow,Daniel J. Lockhart,John F. Reilly,Warren G. Young,Floyd E. Bloom,David J. Lockhart,Carrolee Barlow +16 more
TL;DR: A gene expression-based brain map measuring gene expression patterns for 24 neural tissues covering the mouse central nervous system found that the adult brain bears a transcriptional "imprint" consistent with both embryological origins and classic evolutionary relationships.
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Intussusception: past, present and future
Emily A. Edwards,Nicholas Pigg,Jesse Courtier,Matthew A. Zapala,John D. MacKenzie,Andrew Phelps +5 more
TL;DR: Historical and current approaches to intussusception are discussed, with an emphasis on ultrasound as a diagnostic and therapeutic modality.
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Statistical Properties of Multivariate Distance Matrix Regression for High-Dimensional Data Analysis
TL;DR: The level accuracy and power of MDMR analysis assuming different distance measures and analysis settings are considered and the utility ofMDMR analysis in assessing hypotheses about the appropriate number of clusters arising from a cluster analysis is described.