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Arboreto GRN Inference

K-Dense-AI/claude-scientific-skills

Arboreto infers gene regulatory networks from bulk or single-cell RNA-seq data using scalable GRNBoost2 and GENIE3 algorithms, letting researchers filter transcription-factor targets, run distributed Dask jobs, and export ranked links for downstream analysis.

Scaling Pandas with Dask

K-Dense-AI/claude-scientific-skills

Dask is a Python library that scales pandas/NumPy workflows beyond RAM by parallelizing DataFrames, Arrays, Bags, and custom tasks across cores or clusters for ETL, log analysis, and distributed ML.

Zarr Cloud Array Storage

K-Dense-AI/claude-scientific-skills

Zarr is a Python toolkit for chunked N-D array storage with compression, sharding, and native integrations with NumPy/Dask/Xarray, ideal for parallel I/O and scalable cloud pipelines.

Dask Distributed Computing

K-Dense-AI/scientific-agent-skills

Scale pandas and NumPy workflows beyond RAM using Dask for parallel and distributed computing. Ideal for processing large multi-file datasets, out-of-core DataFrames, big arrays, and unstructured data, from laptops to clusters.

Zarr Chunked Array Storage

K-Dense-AI/scientific-agent-skills

Store and process large N-dimensional arrays with chunking, compression, and parallel I/O. Supports cloud stores like S3/GCS via fsspec and integrates with NumPy, Dask, and Xarray for scientific pipelines.

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