Data Science & ML Claudeスキル

DiffDock Molecular Docking

Predicts high-accuracy 3D protein-ligand binding poses using state-of-the-art diffusion-based deep learning models.

NCBI Gene Database Explorer

Integrates NCBI Gene data access into Claude for querying sequences, functional annotations, and genomic metadata.

Open Targets Database

Queries the Open Targets Platform to identify and prioritize therapeutic drug targets using human genetics, omics, and clinical evidence.

LaminDB

Manages biological datasets with end-to-end lineage tracking, ontology-based curation, and FAIR data principles using a unified Python API.

Biomni Biomedical AI

Executes complex autonomous biomedical research tasks across genomics, drug discovery, and clinical analysis using integrated databases and code execution.

Stable Baselines3

Implements reinforcement learning workflows including agent training, custom environment design, and parallelized experimentation using the Stable Baselines3 library.

SymPy Symbolic Mathematics

Executes exact symbolic mathematics in Python to solve equations, perform calculus, and manipulate algebraic expressions with mathematical precision.

PyHealth Healthcare AI

Develops, tests, and deploys healthcare-specific machine learning models using clinical data, medical coding systems, and physiological signals.

Scientific Hypothesis Generation

Generates and tests scientific hypotheses from observational data and research literature to accelerate empirical discovery and predictive modeling.

Histolab

Processes digital pathology whole slide images (WSI) through automated tissue detection, tile extraction, and specialized image preprocessing.

Vaex Data Analysis

Processes and visualizes billion-row tabular datasets exceeding available RAM through lazy, out-of-core DataFrame operations.

Data Commons Client

Provides programmatic access to global statistical data, demographics, and economic indicators via the Data Commons knowledge graph.

Scikit Survival

Performs advanced survival analysis and time-to-event modeling in Python using specialized machine learning techniques for censored data.

Denario Scientific Research

Automates the end-to-end scientific research lifecycle from data-driven hypothesis generation to the production of publication-ready LaTeX manuscripts.

SimPy Simulation

Models complex discrete-event systems where entities interact with shared resources over time using process-based Python simulations.

OpenAlex Database

Queries and analyzes millions of scholarly works, authors, and institutions using the OpenAlex API to facilitate comprehensive bibliometric research.

Genomic Interval Machine Learning

Facilitates machine learning on genomic interval data by training embeddings for regions, single-cell ATAC-seq, and associated metadata.

Exploratory Data Analysis

Conducts automated exploratory data analysis on over 200 scientific file formats to extract metadata, assess quality, and generate comprehensive documentation reports.

Cirq Quantum Computing

Designs, simulates, and executes quantum circuits across diverse hardware backends and simulators using Google's open-source framework.

SHAP Model Interpretability

Explains machine learning model predictions and feature importance using Shapley values for improved transparency and debugging.

DrugBank Database

Accesses and analyzes comprehensive pharmaceutical data from DrugBank including molecular structures, drug interactions, targets, and pharmacological properties.

Transformers

Implements, fine-tunes, and deploys pre-trained transformer models for natural language processing, computer vision, and audio tasks.

Astropy Astrophysics Toolkit

Facilitates advanced astronomical research and data analysis using Python for coordinate transformations, FITS file manipulation, and cosmological calculations.

AnnData

Manages and analyzes annotated data matrices for single-cell genomics and large-scale biological datasets in Python.

ESM Protein Modeling

Generates and designs novel proteins using evolutionary scale language models for sequence, structure, and functional analysis.

PathML Computational Pathology

Analyzes whole-slide pathology images and multiparametric imaging data using advanced machine learning, spatial graph construction, and automated preprocessing pipelines.

Aeon Time Series Machine Learning

Provides specialized algorithms and workflows for comprehensive time series analysis, including classification, forecasting, and anomaly detection.

scvi-tools Single-Cell Analysis

Analyzes single-cell genomics data using probabilistic deep generative models for tasks like batch correction, cell type annotation, and multi-omic integration.

NeuroKit2

Processes and analyzes physiological signals like ECG, EEG, and EDA to extract research-grade biometrics and psychophysiological insights.

Pydicom

Manages medical imaging data by reading, writing, and anonymizing DICOM files while providing guidance on pixel extraction and metadata manipulation.