Data Science & ML Habilidades de Claude
Descubre Habilidades de Claude para data science & ml. Explora 53 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
CZ CELLxGENE Census Genomics
Accesses and analyzes over 61 million standardized single-cell genomics records from the CZ CELLxGENE Discover census.
Bioinformatics & Genomic Data Toolkit
Retrieves genomic, proteomic, and structural data from over 20 biological databases using a unified interface.
Dask Parallel Computing
Scales Python data science workflows using parallel and distributed computing for larger-than-memory datasets.
Pydicom Medical Imaging
Manipulates and processes DICOM medical imaging data for healthcare applications and scientific research.
PyOpenMS Mass Spectrometry Analysis
Processes and analyzes complex mass spectrometry data for proteomics and metabolomics workflows using the PyOpenMS library.
SHAP Model Explainability
Explains machine learning model predictions and feature importance using Shapley Additive exPlanations for transparent and interpretable AI.
FDA Regulatory Data Analysis
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
Medchem Scientific Discovery
Applies medicinal chemistry filters and drug-likeness rules to prioritize compound libraries for autonomous discovery.
Vaex Big Data Analysis
Processes and analyzes massive tabular datasets exceeding available RAM using lazy, out-of-core DataFrame operations.
NetworkX Analysis & Visualization
Analyzes and visualizes complex graph data structures using the comprehensive Python NetworkX library.
Pysam Genomic Toolkit
Manipulates genomic datasets by reading and writing SAM, BAM, CRAM, VCF, and FASTA files using a Pythonic interface.
Clinical Decision Support Writer
Generates professional, publication-ready clinical decision support documents and biomarker-stratified cohort analyses in LaTeX format.
Pymoo Optimization
Solves complex single and multi-objective optimization problems using evolutionary algorithms and Pareto front analysis.
PyDESeq2 Gene Expression Analysis
Performs automated differential gene expression analysis on bulk RNA-seq data using the PyDESeq2 framework.
Denario AI Scientist
Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publishing LaTeX-formatted papers.
Biomni Biomedical Research
Executes complex biomedical research tasks across genomics, drug discovery, and clinical analysis using autonomous AI reasoning.
ETE Toolkit for Phylogenetics
Analyzes and visualizes phylogenetic trees with support for evolutionary event detection and NCBI taxonomy integration.
LaminDB Biology Data Management
Manages biological datasets with automated lineage tracking, ontology-based curation, and FAIR-compliant data lakehouse capabilities.
COSMIC Cancer Database Access
Accesses and integrates the world's most comprehensive database for exploring somatic mutations in human cancer into bioinformatics workflows.
Protein Modeling & Design (ESM)
Empowers Claude to design, generate, and analyze protein sequences and structures using ESM3 and ESM C evolutionary scale models.
DiffDock Molecular Docking
Predicts accurate 3D protein-ligand binding poses using diffusion-based deep learning for computational drug discovery.
RDKit Cheminformatics Toolkit
Provides comprehensive cheminformatics capabilities for molecular analysis, manipulation, and property calculation within Claude Code.
Scanpy Single-Cell Analysis
Performs comprehensive single-cell RNA-seq data analysis, including quality control, clustering, and visualization.
PathML Computational Pathology
Analyzes whole-slide images and multiparametric imaging data for advanced computational pathology and machine learning workflows.
PyHealth
Builds and deploys specialized machine learning models for clinical healthcare data and electronic health records.
scvi-tools Single-Cell Analysis
Analyzes single-cell omics data using deep generative models for batch correction, multi-omic integration, and probabilistic modeling.
FlowIO Flow Cytometry Handler
Parses and manipulates Flow Cytometry Standard (FCS) files for scientific data preprocessing and analysis.
UMAP Dimensionality Reduction
Performs high-performance nonlinear dimensionality reduction for data visualization and clustering preprocessing using the UMAP algorithm.
Aeon Time Series Analysis
Performs advanced time series machine learning tasks including classification, forecasting, and anomaly detection using scikit-learn compatible APIs.
Therapeutics Data Commons (PyTDC)
Provides AI-ready datasets and benchmarks for therapeutic machine learning and drug discovery tasks.
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