grant
Functional regionalization of the brain revealed by multi-modal neural and genomics data integration
Organization UNIVERSITY OF CALIFORNIA, SAN FRANCISCOLocation SAN FRANCISCO, UNITED STATESPosted 10 Jun 2025Deadline 30 Apr 2029
NIHUS FederalResearch GrantFY202521+ years old3-D3-Dimensional3DAddressAdultAdult HumanAnatomic SitesAnatomic structuresAnatomyAreaAtlasesAxonBioinformaticsBiologicalBody TissuesBrainBrain MappingBrain Nervous SystemBrain regionCell BodyCellsClinicalCommunitiesComputational algorithmDataData AnalysesData AnalysisData SetDevelopmentDisparateDissociationEncephalonGene ExpressionGeneral TaxonomyGenesGenus VanillaIn SituJointsKnowledgeLabelLeannessLocationMachine LearningMapsMasksMeasurementMeasuresMethodsMiceMice MammalsModalityModelingMolecularMurineMusNatureNeurosciencesOntologyOrganOrganismOutcomePatternPerformanceProteomicsResearch ResourcesResolutionResourcesScienceSliceStructureSystemTaxonomyTechniquesThickThicknessThinnessTissuesTrainingTransgenic MiceVanillaVariantVariationVirusadulthoodautoencoderautoencoding neural networkbiologicbrain cellcell typecomputational frameworkcomputer algorithmcomputer frameworkdata complexitydata integrationdata interpretationdeep learningdeep learning based modeldeep learning methoddeep learning modeldeep learning strategydevelopmentalflexibilityflexiblegenome scalegenome-widegenomewidegenomic datagenomic datasethigh dimensional datainsightlarge data setslarge datasetslarge scale datalarge scale data setslarge scale datasetsliving systemmachine based learningmachine learning based modelmachine learning modelmulti-modal datamulti-modal datasetsmulti-modalitymultidimensional datamultidimensional datasetsmultimodal datamultimodal datasetsmultimodalityneuralneural net architectureneural network architecturenew approachesnext generationnovelnovel approachesnovel strategiesnovel strategyregional differenceresolutionsspatial RNA sequencingspatial gene expression analysisspatial gene expression profilingspatial integrationspatial resolved transcriptome sequencingspatial transcriptome analysisspatial transcriptome profilingspatial transcriptome sequencingspatial transcriptomicsspatially resolved transcriptomicsspatio transcriptomicsthree dimensionaltoolunsupervised learningunsupervised machine learning
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Project Summary/Abstract
In the past decade, genome-wide characterization of gene expression in cells dissociated from biological
tissues has transformed the understanding of cell types that build organs in a variety of organisms. However,
to define the precise arrangement of cell types within a tissue or organ, analysis of large-scale spatial…
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