data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Provides an advanced machine learning framework for drug discovery, molecular property prediction, and protein modeling using PyTorch.
Generates high-quality static, animated, and interactive visualizations for data analysis and scientific publication.
Manipulates, analyzes, and visualizes phylogenetic and hierarchical tree structures with biological database integration.
Analyzes whole-slide pathology images and multiparametric imaging data using advanced machine learning and spatial graph techniques.
Access and query the COSMIC database for somatic mutations, cancer gene census, and mutational signatures to support precision oncology research.
Accesses and queries the ChEMBL database for bioactive molecules, drug targets, and bioactivity data within medicinal chemistry workflows.
Accesses comprehensive pharmacogenomics data for precision medicine, genotype-guided dosing, and clinical decision support.
Queries NCBI ClinVar to retrieve and interpret clinical significance data for human genetic variants.
Integrates KEGG REST API access into workflows for biological pathway analysis, gene mapping, and molecular interaction research.
Searches and retrieves information from the ZINC database of 230M+ purchasable compounds for drug discovery and virtual screening.
Performs comprehensive survival analysis and time-to-event modeling using the scikit-survival library in Python.
Accesses the STRING database to analyze protein-protein interaction networks and perform functional enrichment for systems biology.
Enables direct REST API access to UniProt for protein searching, FASTA sequence retrieval, and cross-database identifier mapping.
Enhances AI agents with high-performance adaptive learning and vector-based memory distillation using AgentDB.
Orchestrates multi-agent AI swarms with dynamic topologies and parallel execution for complex distributed tasks.
Detects hardware resources and provides strategic recommendations for optimal scientific computing and data processing.
Generates interactive, publication-quality scientific and statistical charts using the Plotly Python library.
Implements advanced time series machine learning workflows for classification, forecasting, and anomaly detection using scikit-learn compatible APIs.
Builds and deploys serverless bioinformatics workflows using the Latch SDK and cloud infrastructure.
Queries the Reactome database to perform biological pathway analysis, gene-pathway mapping, and expression enrichment for systems biology research.
Solves complex single, multi, and many-objective optimization problems using evolutionary algorithms and Pareto-optimal analysis.
Accesses and analyzes over 200 million AI-predicted protein structures from the AlphaFold DB for structural biology and drug discovery.
Conducts systematic, multi-database academic literature reviews with automated citation verification and professional formatting.
Systematically evaluates research papers, literature reviews, and academic methodologies using the ScholarEval framework to ensure scientific rigor and novelty.
Accesses the Ensembl REST API to retrieve genomic sequences, gene annotations, and variant data for over 250 species.
Provides comprehensive cheminformatics capabilities for molecular analysis, manipulation, and drug discovery workflows.
Facilitates collaborative research ideation by generating hypotheses, identifying research gaps, and exploring interdisciplinary connections for scientific problem-solving.
Accesses the ClinicalTrials.gov API v2 to search, filter, and export global clinical research data for medical analysis.
Integrates with the NIH Metabolomics Workbench REST API to query metabolite data, standardized nomenclature, and experimental studies for biomarker discovery.
Processes and analyzes massive tabular datasets with billions of rows using out-of-core DataFrame operations and lazy evaluation.
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