Data Science & ML Claudeスキル
data science & ml向けのClaudeスキルを発見してください。53個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Arboreto GRN Inference
Infers gene regulatory networks from transcriptomics data using scalable GRNBoost2 and GENIE3 algorithms.
PyHealth Clinical AI Toolkit
Develops, tests, and deploys machine learning models for clinical healthcare data using standardized pipelines and specialized medical architectures.
Biopython Bioinformatics Toolkit
Streamlines computational molecular biology tasks including sequence analysis, NCBI database integration, and structural protein modeling.
Biomni Biomedical AI Agent
Executes complex autonomous research tasks across genomics, drug discovery, and clinical analysis using integrated biomedical databases.
Biopython Molecular Biology
Performs advanced biological computation, sequence analysis, and programmatic access to NCBI databases using Python.
SimPy Simulation Modeling
Builds discrete-event simulation models in Python to analyze complex systems involving queues, resources, and time-based processes.
European Nucleotide Archive Integration
Accesses and retrieves genomic data, including DNA/RNA sequences and raw reads, from the European Nucleotide Archive (ENA) via REST APIs and FTP.
FluidSim CFD Framework
Simulates high-performance fluid dynamics using pseudospectral methods and Python-based HPC workflows.
gget Bioinformatics Toolkit
Provides unified access to 20+ genomic databases and analysis methods for rapid bioinformatics research and sequence analysis.
FluidSim CFD Framework
Simulates complex fluid dynamics using high-performance Python pseudospectral methods for Navier-Stokes and geophysical flow equations.
Histolab Digital Pathology
Automates tissue detection and tile extraction from gigapixel histopathology images for computational pathology deep learning pipelines.
Cirq Quantum Computing
Designs, simulates, and executes quantum circuits on simulators and real quantum hardware using Google's Cirq framework.
Plotly Scientific Visualization
Generates interactive, publication-quality scientific and statistical charts using the Plotly Python library.
COBRApy Metabolic Modeling
Performs constraint-based metabolic modeling and simulation for systems biology and metabolic engineering applications.
DiffDock Molecular Docking
Predicts high-accuracy 3D protein-ligand binding poses using diffusion-based deep learning for structure-based drug discovery.
COBRApy Metabolic Modeling
Simulates and analyzes genome-scale metabolic models using constraint-based reconstruction and analysis (COBRA) techniques.
Hypogenic Scientific Hypothesis Generator
Automates the generation, refinement, and testing of scientific hypotheses using data-driven insights and literature integration.
SimPy Simulation Engine
Builds process-based discrete-event simulations in Python for modeling complex systems like logistics, manufacturing, and networks.
Biomni Biomedical Agent
Executes complex autonomous biomedical research tasks including genomics, drug discovery, and clinical data analysis.
DiffDock Molecular Docking
Predicts 3D protein-ligand binding poses using diffusion-based deep learning for structure-based drug design.
PyHealth Clinical AI Toolkit
Develops and deploys specialized machine learning models for healthcare using clinical datasets, medical coding systems, and deep learning architectures.
FDA Regulatory Database Access
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, food safety, and substances through the openFDA API.
ESM Protein Engineering Toolkit
Empowers protein research and design using state-of-the-art ESM3 and ESM C language models for sequence generation, structure prediction, and representation learning.
DiffDock Molecular Docking
Predicts high-accuracy 3D binding poses of small molecule ligands to protein targets using state-of-the-art diffusion models.
COBRApy Metabolic Modeling
Performs constraint-based reconstruction and analysis of metabolic models using Python for systems biology and metabolic engineering.
NeuroKit2 Biosignal Analysis
Processes and analyzes complex physiological signals including ECG, EEG, and EDA using a comprehensive Python toolkit.
Plotly Data Visualization
Generates interactive, publication-quality data visualizations and dashboards using the Plotly Python library.
Arboreto Gene Regulatory Network Inference
Infers gene regulatory networks from transcriptomics data using scalable gradient boosting and random forest algorithms.
HMDB Database Assistant
Accesses the Human Metabolome Database to retrieve metabolite properties, clinical biomarker data, and spectral information for metabolomics research.
deepTools NGS Analysis
Analyzes high-throughput sequencing data to perform quality control, normalization, and publication-quality visualization for NGS experiments.
Scroll for more results...