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@utdal

The University of Texas at Dallas

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  1. repository-naming repository-naming Public

    Suggestions on how to name new repositories.

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  2. support-training support-training Public

    GitHub Support and Training resources for UTD users. Please email assist@utdallas.edu if you have any issues.

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Repositories

Showing 10 of 34 repositories
  • profiles Public

    A simple CRUD/search profile system for research profiles, providing user-editable information and basic pages to aesthetically promote and highlight researcher activities and achievements.

    utdal/profiles’s past year of commit activity
    PHP 6 MIT 0 36 14 Updated Apr 22, 2025
  • dcaServerFrontend Public
    utdal/dcaServerFrontend’s past year of commit activity
    JavaScript 0 0 0 0 Updated Apr 21, 2025
  • Nageotte-Nodule-Analysis Public

    Nageotte nodules in human DRG reveal neurodegeneration in painful diabetic neuropathy.

    utdal/Nageotte-Nodule-Analysis’s past year of commit activity
    R 0 MIT 0 0 0 Updated Apr 1, 2025
  • py-mfdca Public

    Simple Python Implementation of mean-field Direct Coupling Analysis

    utdal/py-mfdca’s past year of commit activity
    D 4 1 0 0 Updated Mar 25, 2025
  • dcp-my-happy-school Public
    utdal/dcp-my-happy-school’s past year of commit activity
    TypeScript 0 11 0 6 Updated Mar 23, 2025
  • miRNA-Analysis Public
    utdal/miRNA-Analysis’s past year of commit activity
    0 0 0 0 Updated Mar 18, 2025
  • RNA-Data Public

    https://sensoryomics.shinyapps.io/RNA-Data/

    utdal/RNA-Data’s past year of commit activity
    R 0 1 0 0 Updated Mar 14, 2025
  • seec-nt Public

    Python implementation of seec-nt

    utdal/seec-nt’s past year of commit activity
    Python 0 0 0 0 Updated Mar 3, 2025
  • coevolution-portal-backend Public
    utdal/coevolution-portal-backend’s past year of commit activity
    Python 0 1 0 0 Updated Mar 2, 2025
  • visium10x-spatial-transcriptomics-pipeline Public

    This repository provides an R-based pipeline for analyzing spatial RNA-seq data using Seurat, STDeconvolve, and Giotto. Designed to process and analyze spatial transcriptomics data through a sequence of well-defined steps, enabling in-depth exploration and interpretation of spatially resolved gene expression profiles.

    utdal/visium10x-spatial-transcriptomics-pipeline’s past year of commit activity
    R 0 MIT 0 0 0 Updated Feb 17, 2025
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