docs: Add tutorial for running SACCELERATOR with LSF/Mamba and new Xenium ovarian cancer datasets

[Copilot]

Tutorial for running the pipeline on HPC with LSF (bsub) and Mamba, including how to manage Snakemake's hashed conda environments and how to add new datasets.

Contents (docs/tutorial_lsf_mamba.md)

• Running on example datasets — Full walkthrough using libd_dlpfc and xenium-breast-cancer with an LSF Snakemake profile (covers both Snakemake 7.x and 8.x plugin-based configs)
• Conda environment naming/reuse — Solutions for the hashed env directory problem:
  • --conda-prefix for shared persistent cache
  • Helper script to pre-create named envs (saccelerator_method_spaGCN, etc.)
  • --conda-create-envs-only for upfront env resolution
• Adding new Xenium ovarian cancer datasets — Template data module (script, env YAML, optargs JSON, config entries) for:
  • Xenium Prime FFPE Human Ovarian Cancer
  • Xenium Comparison Fresh Frozen Human Ovarian Cancer

Example LSF profile snippet:

executor: lsf
jobs: 50
use-conda: true
conda-frontend: mamba
conda-prefix: /path/to/shared/conda_envs
default-resources:
  mem_mb: 8000
  runtime: 120
  lsf_queue: normal

Note: The download script templates require users to fill in actual 10x Genomics URLs (gated behind their ToS acceptance page).