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@TaschnerMandlGroup

TaschnerMandlGroup

Welcome to the Taschner-Mandl Lab at Children's Cancer Research Institute (CCRI) in Vienna

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We are a group of experimental and computational biologists at CCRI with the goal to tackle unresolved questions of neuroblastoma pathogenesis and develop new diagnostic and therapeutic approaches to facilitate precision medicine for children with malignant tumors. For more information visit our institutional homepage.

This organization hosts analysis and software repositories supporting our research.

  • DeepFLEX: Image processing and single-cell analysis pipeline for MELC images
  • neuroblastoma: Single-cell transcriptomics & epigenomics analysis for neuroblastoma samples
  • MapMetIP: Image processing workflow for multi-modal (IF & IMC) high-plex images
  • MapMetSC: Single-cell analysis pipeline for data extracted from MapMetIP
  • ALT-FISH: Classification of ALT-FISH spots
  • AI4CAN: App for FISH image classification
  • SpatialIMC: Spatial interaction analysis in IMC images

Some repositories are currently in development and private, but will be published soon. Stay tuned.

Popular repositories

  1. TaschnerMandlGroup.github.io TaschnerMandlGroup.github.io Public

    SCSS

  2. .github .github Public

  3. DeepFLEX DeepFLEX Public

    Forked from perlfloccri/DeepFLEX

    DeepFLEX: Deep learning-based single-cell analysis pipeline for FLuorescence multiplEX imaging

    Python

  4. neuroblastoma neuroblastoma Public

    Forked from csbg/neuroblastoma

    Single-cell transcriptomics and epigenomics unravel the role of monocytes in neuroblastoma bone marrow metastasis

    Jupyter Notebook

Repositories

Showing 4 of 4 repositories

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