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Hierarchical Computational Anatomy: Unifying the Molecular to Tissue Continuum Via Measure Representations of the Brain

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.04.19.440540Source: DataRank Database

Hierarchical Computational Anatomy: Unifying the Molecular to Tissue Continuum Via Measure Representations of the Brain is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0. It has been cited 6 times.

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Open Access6 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (6 grants)OA: greenTopics (31)IDs (PubMed, OpenAlex)SDGs (1)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Daniel J. Tward ORCID,Alain Trouvé ORCID,Michael I. Miller ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W3156118544

National Institutes of Health

Grant: 1R01NS102670-01A1

Tracing Spread of Pathology Within The HD Brain via Automated Neuroimaging

National Institutes of Health

Grant: 5R01MH105660-02

DISC1-dependent defects in neural fate, corticogenesis and cognition in psychosis

National Institutes of Health

Grant: 5U19AG033655-12

Biomarkers of Cognitive Decline Among Normal Individuals: The Biocard Cohort

National Institutes of Health

Grant: 1R01EB020062-01A1

Neurodegenerative and Neurodevelopmental Subcortical Shape Diffeomorphometry

National Science Foundation

Grant: 1707298

NeuroNex Innovation Award: Towards Automatic Analysis of Multi-Terabyte Cleared Brains

National Institutes of Health

Grant: 5P50AG005146-20

ALZHEIMERS DISEASE AND ANIMAL MODELS

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/02/11/2021.04.19.440540.full.pdf

GREENhttps://www.biorxiv.org/content/biorxiv/early/2022/02/11/2021.04.19.440540.full.pdf

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/02/11/2021.04.19.440540.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2021.04.19.440540

repositoryhttps://doi.org/10.1101/2021.04.19.440540

Fields of Study

Single-cell and spatial transcriptomicsCell Image Analysis TechniquesGene Regulatory Network AnalysisBiologyComputer ScienceMedicine0301 basic medicine03 medical and health sciences0303 health sciences

Keywords

Computer scienceScale (ratio)Brain atlasArtificial intelligenceTheoretical computer scienceComputational biologyStatistical physicsBiologyPhysicsAdvanced Techniques in Bioimage Analysis and MicroscopyBiophysicsQuantum mechanicsCellular ImagingBiochemistry, Genetics and Molecular BiologyCell HeterogeneityTranscriptomicsMolecular BiologyNeuronal MorphologyLife SciencesComprehensive Integration of Single-Cell Transcriptomic DataStochasticity in Gene Regulatory NetworksSingle-Cell Analysis

Sustainable Development Goals

SDG 4: 4. Education