263 citations · 293 across the 11 of their papers we have counts for
12 papers
New Light on Cortical Neuropeptides and Synaptic Network Plasticity
Stephen J. Smith, Michael Hawrylycz, Jean Rossier +1
Neuropeptides, members of a large and evolutionarily ancient family of proteinaceous cell-cell signaling molecules, are widely recognized as extremely potent regulators of brain fu…
A community-based transcriptomics classification and nomenclature of neocortical cell types
Rafael Yuste, Michael Hawrylycz, Nadia Aalling +68
To understand the function of cortical circuits it is necessary to classify their underlying cellular diversity. Traditional attempts based on comparing anatomical or physiological…
Discovering Neuronal Cell Types and Their Gene Expression Profiles Using a Spatial Point Process Mixture Model
Furong Huang, Animashree Anandkumar, Christian Borgs +6
Cataloging the neuronal cell types that comprise circuitry of individual brain regions is a major goal of modern neuroscience and the BRAIN initiative. Single-cell RNA sequencing c…
Cell-type-specific neuroanatomy of brain-wide expression of autism-related genes
Pascal Grange, Idan Menashe, Michael Hawrylycz
Two cliques of genes identified computationally for their high co-expression in the mouse brain according to the Allen Brain Atlas, and for their enrichment in genes related to aut…
Cell-type-specific transcriptomes and the Allen Atlas (II): discussion of the linear model of brain-wide densities of cell types
Pascal Grange, Jason W. Bohland, Benjamin Okaty +6
The voxelized Allen Atlas of the adult mouse brain (at a resolution of 200 microns) has been used in [arXiv:1303.0013] to estimate the region-specificity of 64 cell types whose tra…
Cell-type-specific microarray data and the Allen atlas: quantitative analysis of brain-wide patterns of correlation and density
Pascal Grange, Michael Hawrylycz, Partha P. Mitra
The Allen Atlas of the adult mouse brain is used to estimate the region-specificity of 64 cell types whose transcriptional profile in the mouse brain has been measured in microarra…
Computational neuroanatomy and co-expression of genes in the adult mouse brain, analysis tools for the Allen Brain Atlas
Pascal Grange, Michael Hawrylycz, Partha P. Mitra
We review quantitative methods and software developed to analyze genome-scale, brain-wide spatially-mapped gene-expression data. We expose new methods based on the underlying high-…
Brain Gene Expression Analysis: a MATLAB toolbox for the analysis of brain-wide gene-expression data
Pascal Grange, Jason W. Bohland, Michael Hawrylycz +1
The Allen Brain Atlas project (ABA) generated a genome-scale collection of gene-expression profiles using in-situ hybridization. These profiles were co-registered to the three-dime…
A cell-type based model explaining co-expression patterns of genes in the brain
Pascal Grange, Jason Bohland, Hemant Bokil +6
Much of the genome is expressed in the vertebrate brain, with individual genes exhibiting different spatially-varying patterns of expression. These variations are not independent,…
A proposal for a coordinated effort for the determination of brainwide neuroanatomical connectivity in model organisms at a mesoscopic scale
Jason W. Bohland, Caizhi Wu, Helen Barbas +34
In this era of complete genomes, our knowledge of neuroanatomical circuitry remains surprisingly sparse. Such knowledge is however critical both for basic and clinical research int…
The lattice of closure relations of a poset
Michael Hawrylycz, Victor Reiner
In this paper we show that the set of closure relations on a finite poset P forms a supersolvable lattice, as suggested by Rota. Furthermore this lattice is dually isomorphic to th…
A geometric identity for Pappus' Theorem
Michael Hawrylycz
An expression in the exterior algebra of a Peano space yielding Pappus' Theorem was originally given by Doubilet, Rota, and Stein. Motivated by an identity of Rota, we give an iden…