adding scPRINT and its suite of packages

packages/GRnnData/meta.yaml

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+name: GRnnData
+description: |
+  An onverload of anndata to more easily work with gene networks.
+  Allows easy conversion between anndata and grnndata and provide loads of usefull utilities functions.
+project_home: https://github.com/cantinilab/GRnnData
+documentation_home: https://jkobject.com/GRnnData
+publications:
+  - 10.1101/2024.07.29.605556
+install:
+  pypi: grnndata
+tags:
+  - single cell
+  - RNAseq
+  - gene networks
+  - format
+  - utilities
+license: MIT
+version: v1.0.0
+authors:
+  - jkobject (jeremie kalfon)
+test_command: pip install . && make test

packages/benGRN/meta.yaml

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+name: benGRN
+description: |
+  Benchmarking tool for gene network inference from single cell RNAseq methods.
+  It uses the grnndata/anndata modality and only contains biological ground truth networks
+project_home: https://github.com/jkobject/benGRN
+documentation_home: https://jkobject.com/benGRN
+publications:
+  - 10.1101/2024.07.29.605556
+install:
+  pypi: bengrn
+tags:
+  - single cell
+  - RNAseq
+  - gene network inference
+  - benchmark
+license: MIT
+version: v1.0.1
+authors:
+  - jkobject (jeremie kalfon)
+test_command: pip install . && make test

packages/scDataLoader/meta.yaml

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+name: scDataLoader
+description: |
+  A dataloader for large single cell databases like cellxgene.
+  Does weighted random sampling, downloading and preprocessing.
+  works with anndata, zarr, and h5ad files.
+project_home: https://github.com/jkobject/scDataLoader
+documentation_home: https://jkobject.com/scDataLoader
+publications:
+  - 10.1101/2024.07.29.605556
+install:
+  pypi: scdataloader
+tags:
+  - dataloader
+  - single cell
+  - RNAseq
+  - pytorch
+  - lightning
+  - cellxgene
+  - preprocessing
+license: MIT
+version: v1.0.1
+authors:
+  - jkobject (jeremie kalfon)
+test_command: pip install . && make test

packages/scPRINT/meta.yaml

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+name: scPRINT
+description: |
+  A single cell foundation model for Gene network inference and more...
+project_home: https://github.com/cantinilab/scPRINT
+documentation_home: https://jkobject.com/scPRINT
+publications:
+  - 10.1101/2024.07.29.605556
+install:
+  pypi: scprint
+tags:
+  - foundation model
+  - single cell
+  - RNAseq
+  - gene network inference
+  - denoising
+  - zero imputation
+  - label prediction
+  - zero shot
+  - embedding
+  - pytorch
+  - lightning
+license: MIT
+version: v1.0.12
+authors:
+  - jkobject (jeremie kalfon)
+test_command: pip install . && make test