by K-Dense-AI
PyMC is a Bayesian modeling skill for building, fitting, checking, and comparing probabilistic models in Python. Use pymc for hierarchical regression, multilevel analysis, time series, missing data, measurement error, and model comparison with LOO or WAIC.
by K-Dense-AI
cellxgene-census skill for querying the CELLxGENE Census programmatically. Use it to explore expression data, metadata, embeddings, and cross-dataset patterns across tissues, diseases, and cell types. Best for population-scale single-cell analysis and reference atlas comparisons; for your own data, use scanpy or scvi-tools.
by K-Dense-AI
astropy is a Python toolkit for astronomy and astrophysics workflows. Use this astropy skill for celestial coordinates, units, FITS files, time scales, tables, WCS, cosmology, and astropy for Data Analysis. It helps with practical astronomy tasks like coordinate transforms, unit conversion, and data processing.
