Global ETD Search

Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

Results

Showing 1 to 8 of 8 for “"RNA Velocity"”.

  1. Dynast: Inclusive and efficient quantification of metabolically labeled transcripts in single cells

    Single cell RNA velocity, defined as the time derivative of gene expression, is a powerful concept that can predict the future transcriptional state of the cell. Traditionally, RNA velocity estimations relied on the distinction between spliced and unspliced mRNA in single cell RNA-seq (scRNA-seq) …

    mit Repository record for Dynast: Inclusive and efficient quantification of metabolically labeled transcripts in single cells (opens in a new tab)

  2. Single-cell differential splicing of Alzheimer’s Disease in 1.9 million cells across 416 individuals

    … steady-state cell behavior. By contrast, RNA velocity analysis allows inference of both direction and magnitude of regulatory changes occuring over disease progression. However, despite the success of existing RNA velocity analyses, the pace of disease progression remains uncharacterized, …

    mit Repository record for Single-cell differential splicing of Alzheimer’s Disease in 1.9 million cells across 416 individuals (opens in a new tab)

  3. Probabilistic Dynamical Modelling of Spatiotemporal Cell Trajectories During Neural Development

    … in health and disease. Cell2fate is an RNA velocity model for inference of transcriptional dynamics from spliced and unspliced RNA counts. Unlike existing models, cell2fate is capable of capturing complex biological processes while still being analytically tractable. This is achieved …

    cambridge Repository record for Probabilistic Dynamical Modelling of Spatiotemporal Cell Trajectories During Neural Development (opens in a new tab)

  4. Towards causality in gene regulatory network inference

    … Granger causal framework that leverages RNA velocity dynamics for causal gene regulatory network inference and enables inquiries into the role of temporal control in gene regulatory function and disease.

    mit Repository record for Towards causality in gene regulatory network inference (opens in a new tab)

  5. Biophysical dynamical priors in machine learning

    … 5 extends the popular biological framework, RNA velocity, both to reduce invalid assumptions and to enable the inference of single-cell resolution quantities such as pseudotime. Finally, Chapter 6 presents a conclusion on all the work conducted along with directions for future work.

    cambridge Repository record for Biophysical dynamical priors in machine learning (opens in a new tab)

  6. Mechanistic modeling and systems analysis across biological scales, from single cells and regulatory networks to microbial communities

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms

    uiuc Repository record for Mechanistic modeling and systems analysis across biological scales, from single cells and regulatory networks to microbial communities (opens in a new tab)

  7. Deciphering the Mechanisms of Heterogeneity within Haematopoiesis in Health, Development & Disease

    … by single cell transcriptomic sequencing (scRNA-seq), combined with its interpretability, has been a pivotal driver to our understanding of haematopoietic heterogeneity and the mechanisms driving it. scRNA-seq focusses exclusively on measuring spliced mRNA transcript abundance within cells. …

    cambridge Repository record for Deciphering the Mechanisms of Heterogeneity within Haematopoiesis in Health, Development & Disease (opens in a new tab)