Data Science & ML Claude 스킬

Statistical Analysis Toolset

Performs comprehensive hypothesis testing, regression analysis, and Bayesian statistics with automated assumption checking and APA-style reporting.

Matplotlib Visualization Expert

Generates professional, publication-quality Python visualizations including line plots, heatmaps, and 3D charts using the Matplotlib library.

NCBI GEO Database Explorer

Accesses and retrieves gene expression and functional genomics data from the NCBI Gene Expression Omnibus (GEO) repository.

Medchem Molecular Filters

Applies medicinal chemistry rules and structural alerts to triage and prioritize compound libraries for drug discovery workflows.

PyMC Bayesian Modeling

Builds and validates complex Bayesian models using PyMC's probabilistic programming framework.

ESM Protein Modeling

Provides advanced protein language models for generating novel sequences, predicting structures, and creating high-quality embeddings for protein engineering and scientific research.

Torch Tensor Parallelism

Implements distributed tensor parallel operations in PyTorch, focusing on efficient weight sharding and collective operations across multiple GPUs.

Biopython for Bioinformatics

Streamlines computational molecular biology tasks including sequence manipulation, NCBI database queries, and structural analysis.

ClinPGx Pharmacogenomics Database

Accesses comprehensive pharmacogenomics data including gene-drug interactions, CPIC guidelines, and genotype-guided dosing recommendations.

Largest Eigenvalue Optimization

Optimizes numerical linear algebra computations for finding eigenvalues of small dense matrices through direct LAPACK integration and overhead reduction.

KEGG Database Pathway Analysis

Accesses the KEGG REST API to perform biological pathway analysis, gene-pathway mapping, and metabolic network research.

ReportLab PDF Generation

Automates the creation of professional PDF documents, reports, and invoices using the robust ReportLab Python toolkit.

Aeon Time Series Toolkit

Builds and deploys machine learning models for complex time series tasks like forecasting, classification, and anomaly detection.

Exploratory Data Analysis Toolkit

Automates comprehensive statistical analysis and visual profiling for diverse datasets to uncover hidden patterns, anomalies, and actionable insights.

DrugBank Database

Accesses and analyzes comprehensive pharmaceutical data from DrugBank to perform drug discovery research, interaction analysis, and target identification.

Bayesian Network Recovery and Modification

Guides the recovery of Directed Acyclic Graph structures from observational data, parameter estimation, and the implementation of causal interventions.

BioServices Bioinformatics Toolkit

Provides programmatic access to over 40 bioinformatics web services for biological data retrieval, identifier mapping, and pathway analysis.

PyTorch Lightning

Organizes and scales PyTorch deep learning workflows by automating training loops, hardware orchestration, and boilerplate code.

scvi-tools

Empowers single-cell omics analysis with deep generative models for dimensionality reduction, batch correction, and multimodal data integration.

Pymoo Optimization

Implements advanced multi-objective and many-objective optimization frameworks using state-of-the-art evolutionary algorithms and Pareto analysis.

PyDESeq2 Gene Expression Analysis

Identifies differentially expressed genes from bulk RNA-seq counts using the PyDESeq2 statistical framework.

Dask Parallel Computing

Enables parallel and distributed computing in Python to scale pandas and NumPy operations beyond memory limits.

TorchDrug Scientific Computing

Accelerates drug discovery and molecular research by providing specialized tools for graph neural networks, protein modeling, and chemical property prediction.

Torch Pipeline Parallelism

Implements distributed model training by partitioning PyTorch layers across multiple GPUs using pipeline parallelism patterns like AFAB and 1F1B.

COBRApy Metabolic Modeling

Facilitates constraint-based reconstruction and analysis (COBRA) of metabolic models for systems biology and metabolic engineering.

gget Bioinformatics Toolkit

Provides unified access to 20+ genomic databases and bioinformatics tools for gene information, sequence analysis, and protein structure prediction.

Biomni

Executes autonomous multi-step biomedical research tasks including genomics analysis, drug discovery, and clinical interpretation.

PathML

Analyzes whole-slide pathology images and multiparametric imaging data using computational tools for tissue segmentation, spatial graphs, and machine learning.

Torch Tensor Parallelism

Implements distributed tensor-parallel linear layers in PyTorch to enable training of models that exceed single-device memory limits.

AnnData Genomics Toolkit

Manipulates and manages AnnData objects for single-cell genomics workflows, including scRNA-seq data processing and file management.