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Search Python , found 36 results

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Scanpy Single-Cell Pipeline

K-Dense-AI/claude-scientific-skills

Scanpy provides a scalable Python pipeline for single-cell RNA-seq, covering QC, normalization, dimensionality reduction, clustering, marker discovery, annotation, trajectory analysis, and publication-ready visualizations through AnnData.

Survival Analysis Toolkit

scikit-survival

K-Dense-AI/claude-scientific-skills

Comprehensive scikit-survival guidance for handling censored data, building Cox, ensemble, and SVM survival models, and evaluating time-to-event predictions with concordance, AUC, and Brier scores, making it ideal for clinical or reliability studies in Python.

Single-Cell Generative Toolkit

K-Dense-AI/claude-scientific-skills

Provides Pythonic probabilistic deep models for single-cell genomics, covering RNA, ATAC, multimodal, and spatial data—all with batch correction, uncertainty-aware differential expression, and scanpy-friendly APIs.

Seaborn Statistical Visualization

K-Dense-AI/claude-scientific-skills

Seaborn builds on matplotlib to deliver dataset-aware statistical plots with attractive defaults, making it easy to explore distributions, variable relationships, and categorical comparisons in Python.

Statsmodels Statistical Modeling

K-Dense-AI/claude-scientific-skills

Statsmodels is a Python library for detailed regression and time-series models, giving econometrics-grade inference, diagnostics, residual analysis, model comparison, and forecasting tools when you need publication-ready tables and rigorous testing.

UniProt Rest Access

uniprot-database

K-Dense-AI/claude-scientific-skills

Direct REST API access to UniProt for searching proteins, fetching FASTA sequences, mapping identifiers, selecting annotations, and streaming large datasets within Python workflows.

Zarr Python Arrays

K-Dense-AI/claude-scientific-skills

Handles chunked, compressed N-D arrays in Python for cloud-friendly workflows; integrates seamlessly with NumPy, Dask, and Xarray to enable parallel I/O, sharding, and persistence to S3/GCS for large-scale scientific pipelines.

cBioPortal Cancer Data

cbioportal-database

K-Dense-AI/claude-scientific-skills

Access multi-dimensional cancer genomics data via cBioPortal REST API for mutation, copy-number, expression, and survival insights across TCGA/GENIE studies, enabling target validation and clinical association analyses programmatically with Python clients.

InterPro Protein Annotation

interpro-database

K-Dense-AI/claude-scientific-skills

Query InterPro for protein family, domain, and GO annotations via a REST API with Python helpers, enabling function prediction, domain architecture mapping, and evolutionary classification insights for proteomic workflows.

Jaspar TFBS Toolkit

jaspar-database

K-Dense-AI/claude-scientific-skills

Query the JASPAR REST API and Python helpers to retrieve TF binding profiles, convert PFMs to PWMs, and scan DNA sequences for high-confidence motifs, enabling regulatory variant interpretation, ChIP/ATAC analysis, and TF network construction.

Pandas Data Toolkit

sickn33/antigravity-awesome-skills

Pandas is a Python data analysis library that simplifies loading, cleaning, transforming, and analyzing structured datasets, making it ideal for data wrangling in analytics or engineering workflows.

PyGraphistry GPU Visualizer

sickn33/antigravity-awesome-skills

PyGraphistry is a Python interface to the Graphistry platform for GPU-accelerated graph visualization, letting analysts render millions of nodes/edges in interactive dashboards to surface anomalies and relationships quickly.

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