Transcriptome architecture of adult mouse brain revealed by sparse coding of genome-wide in situ hybridization images
Highly differentiated brain structures with distinctly different phenotypes are closely
correlated with the unique combination of gene expression patterns. Using a genome-wide …
correlated with the unique combination of gene expression patterns. Using a genome-wide …
Discover mouse gene coexpression landscapes using dictionary learning and sparse coding
Gene coexpression patterns carry rich information regarding enormously complex brain
structures and functions. Characterization of these patterns in an unbiased, integrated, and …
structures and functions. Characterization of these patterns in an unbiased, integrated, and …
Spage2vec: Unsupervised representation of localized spatial gene expression signatures
Investigations of spatial cellular composition of tissue architectures revealed by multiplexed
in situ RNA detection often rely on inaccurate cell segmentation or prior biological …
in situ RNA detection often rely on inaccurate cell segmentation or prior biological …
[HTML][HTML] Automated identification of the mouse brain's spatial compartments from in situ sequencing data
Background Neuroanatomical compartments of the mouse brain are identified and outlined
mainly based on manual annotations of samples using features related to tissue and cellular …
mainly based on manual annotations of samples using features related to tissue and cellular …
ZEBRA: a hierarchically integrated gene expression atlas of the murine and human brain at single-cell resolution
The molecular causes and mechanisms of neurodegenerative diseases remain poorly
understood. A growing number of single-cell studies have implicated various neural, glial …
understood. A growing number of single-cell studies have implicated various neural, glial …
Spage2vec: unsupervised detection of spatial gene expression constellations
Investigation of spatial cellular composition of tissue architectures revealed by multiplexed in
situ RNA detection often rely on inaccurate cell segmentation or prior biological knowledge …
situ RNA detection often rely on inaccurate cell segmentation or prior biological knowledge …
[HTML][HTML] A high-resolution anatomical framework of the neonatal mouse brain for managing gene expression data
EF Lee, J Boline, AW Toga - Frontiers in NeuroInformatics, 2007 - frontiersin.org
This study aims to provide a high-resolution atlas and use it as an anatomical framework to
localize the gene expression data for mouse brain on postnatal day 0 (P0). A color Nissl …
localize the gene expression data for mouse brain on postnatal day 0 (P0). A color Nissl …
[HTML][HTML] Uncovering statistical links between gene expression and structural connectivity patterns in the mouse brain
N Timonidis, A Llera, PHE Tiesinga - Neuroinformatics, 2021 - Springer
Finding links between genes and structural connectivity is of the utmost importance for
unravelling the underlying mechanism of the brain connectome. In this study we identify …
unravelling the underlying mechanism of the brain connectome. In this study we identify …
[HTML][HTML] Deep convolutional neural networks for annotating gene expression patterns in the mouse brain
Background Profiling gene expression in brain structures at various spatial and temporal
scales is essential to understanding how genes regulate the development of brain …
scales is essential to understanding how genes regulate the development of brain …
Compressed representation of brain genetic transcription
The architecture of the brain is too complex to be intuitively surveyable without the use of
compressed representations that project its variation into a compact, navigable space. The …
compressed representations that project its variation into a compact, navigable space. The …