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Showing 1–7 of 7 results
Advanced filters: Author: Mariano Gabitto Clear advanced filters

  • By learning a joint representation using deep generative modeling, MultiVI integrates multimodal and single-modality single-cell datasets, which enhances multiple functionalities.

    • Tal Ashuach
    • Mariano I. Gabitto
    • Nir Yosef
    ResearchOpen Access
    Nature Methods
    Volume: 20, P: 1222-1231

  • Most currently available statistical tools for the analysis of ATAC-seq data were repurposed from tools developed for other functional genomics data (e.g. ChIP-seq). Here, Gabitto et al develop ChromA, a Bayesian statistical approach for the analysis of both bulk and single-cell ATAC-seq data.

    • Mariano I. Gabitto
    • Anders Rasmussen
    • Richard Bonneau
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-10

  • The affected cellular populations during Alzheimer’s disease progression remain understudied. Here the authors use a cohort of 84 donors, quantitative neuropathology and multimodal datasets from the BRAIN Initiative. Their pseudoprogression analysis revealed two disease phases.

    • Mariano I. Gabitto
    • Kyle J. Travaglini
    • Ed S. Lein
    ResearchOpen Access
    Nature Neuroscience
    Volume: 27, P: 2366-2383

  • The transcriptional programs and chromatin accessibility changes that cause two related interneuronal subtypes to diverge from common developmental origins and acquire specialized properties are elucidated.

    • Kathryn C. Allaway
    • Mariano I. Gabitto
    • Gord Fishell
    Research
    Nature
    Volume: 597, P: 693-697

  • The Seattle Alzheimer’s Disease Brain Cell Atlas (SEA-AD) is a multifaceted open-data resource that is designed to identify cellular and molecular pathologies that underlie Alzheimer’s disease. Integrating neuropathology, single-cell and spatial genomics, and longitudinal clinical metadata, SEA-AD is a unique resource for studying the pathogenesis of Alzheimer’s disease and related dementias.

    • Michael Hawrylycz
    • Eitan S. Kaplan
    • Ed S. Lein
    Comments & Opinion
    Nature Aging
    Volume: 4, P: 1331-1334

  • It is generally accepted that specific neuronal circuits in the brain's cortex drive behavioural execution, but the relationship between the performance of a task and the function of a circuit is unknown. Here, this problem was tackled by using a technique that allows many neurons within the same circuit to be monitored simultaneously. The findings indicate that enhanced correlated activity in specific ensembles of neurons can identify and encode specific behavioural responses while a task is learned.

    • Takaki Komiyama
    • Takashi R. Sato
    • Karel Svoboda
    Research
    Nature
    Volume: 464, P: 1182-1186