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__merge__: /src/api/comp_method_transcript_assignment.yaml
name: fastreseg
label: "fastReseg transcript assignment"
summary: "Spatial segmentation correction using fastReseg method"
description: |
fastReseg is an R package designed to enhance the precision of cell segmentation in spatial transcriptomics by
leveraging transcriptomic data to correct and refine initial image-based segmentation results.
links:
documentation: "https://github.com/openproblems-bio/task_ist_preprocessing"
repository: "https://github.com/openproblems-bio/task_ist_preprocessing"
references:
doi: "10.1038/s41598-025-08733-5"
#arguments:
# - name: --transcripts_key
# type: string
# default: "transcripts"
# description: "Key for transcripts in the points layer"
# - name: --coordinate_system
# type: string
# default: "global"
# description: "Coordinate system for the transcripts"
resources:
- type: bash_script
path: orchestrator.sh
- type: python_script
path: input.py
- type: r_script
path: script.R
- type: python_script
path: output.py
engines:
- type: docker
image: openproblems/base_python:1
setup:
- type: apt
packages:
- libv8-dev
- libudunits2-dev
- libabsl-dev
- gdal-bin
- libgdal-dev
- r-base
- type: r
packages:
- devtools
- terra
- Matrix
- dbscan
- igraph
- matrixStats
- codetools
- data.table
# Add other CRAN packages here
github:
# Add GitHub packages here if needed
- Nanostring-Biostats/FastReseg
#- type: python
# github:
# - openproblems-bio/core#subdirectory=packages/python/openproblems
__merge__:
- /src/base/setup_txsim_partial.yaml
- /src/base/setup_spatialdata_partial.yaml
- type: native
runners:
- type: executable
- type: nextflow
directives:
label: [ midtime, midcpu, midmem ]
##macOS workaround: export DOCKER_DEFAULT_PLATFORM=linux/amd64