发现data science & ml类别的 Claude 技能。浏览 61 个技能,找到适合您 AI 工作流程的完美功能。
Solves complex single and multi-objective optimization problems using evolutionary algorithms and Pareto front analysis.
Manipulates genomic datasets by reading and writing SAM, BAM, CRAM, VCF, and FASTA files using a Pythonic interface.
Performs automated differential gene expression analysis on bulk RNA-seq data using the PyDESeq2 framework.
Predicts accurate 3D protein-ligand binding poses using diffusion-based deep learning for computational drug discovery.
Empowers Claude to design, generate, and analyze protein sequences and structures using ESM3 and ESM C evolutionary scale models.
Queries the NCBI ClinVar database to retrieve, interpret, and process human genetic variant clinical significance data.
Executes complex biomedical research tasks across genomics, drug discovery, and clinical analysis using autonomous AI reasoning.
Manages biological datasets with automated lineage tracking, ontology-based curation, and FAIR-compliant data lakehouse capabilities.
Performs constraint-based reconstruction and analysis of metabolic models for systems biology and metabolic engineering.
Provides AI-ready datasets and benchmarks for therapeutic machine learning and drug discovery tasks.
Parses and manipulates Flow Cytometry Standard (FCS) files for scientific data preprocessing and analysis.
Builds and deploys specialized machine learning models for clinical healthcare data and electronic health records.
Performs comprehensive single-cell RNA-seq data analysis, including quality control, clustering, and visualization.
Analyzes whole-slide images and multiparametric imaging data for advanced computational pathology and machine learning workflows.
Analyzes single-cell omics data using deep generative models for batch correction, multi-omic integration, and probabilistic modeling.
Performs advanced time series machine learning tasks including classification, forecasting, and anomaly detection using scikit-learn compatible APIs.
Performs comprehensive bioinformatics analysis including sequence manipulation, phylogenetics, and microbial ecology statistics within Python.
Accelerates genomic interval analysis and machine learning preprocessing using a high-performance Rust toolkit with Python bindings.
Detects system hardware capabilities and provides optimized computational strategies for scientific and data-intensive tasks.
Empowers Claude to create, analyze, and format professional Excel spreadsheets and financial models with automated formula recalculation.
Generates publication-quality scientific diagrams, neural network architectures, and flowcharts using specialized Python libraries.
Provides comprehensive access to the Human Metabolome Database for metabolite identification, chemical analysis, and biomarker discovery.
Accesses the Reactome database to perform biological pathway analysis, gene mapping, and enrichment studies for systems biology.
Facilitates programmatic access to the ClinicalTrials.gov API v2 for advanced trial discovery, patient matching, and medical research data extraction.
Builds and deploys production-grade bioinformatics pipelines as serverless workflows on the Latch platform.
Access and analyze over 200 million AI-predicted protein structures for structural biology and computational drug discovery.
Facilitates creative scientific problem-solving by generating hypotheses and exploring interdisciplinary connections as a research ideation partner.
Searches and retrieves life sciences preprints from the bioRxiv database by keywords, authors, and categories.
Accesses and analyzes over 240 million scholarly works, authors, and institutions via the OpenAlex API for automated scientific discovery.
Empowers Claude to perform graph-based drug discovery, molecular property prediction, and protein modeling using the TorchDrug framework.
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