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。
Integrates Google's Gemini AI models into Claude Code for advanced reasoning and multi-model code analysis.
Automates protein testing and validation workflows through cloud-based laboratory services and sequence optimization tools.
Streamlines molecular machine learning workflows for drug discovery, property prediction, and materials science using graph neural networks.
Facilitates automated protein testing and validation through cloud-based laboratory services and sequence optimization tools.
Predicts 3D binding poses for protein-ligand complexes using state-of-the-art diffusion-based deep learning.
Processes and analyzes astronomical data using the Astropy library for coordinate transformations, cosmology, and FITS file management.
Integrates Pinecone's managed vector database into your AI workflows to enable high-performance RAG, semantic search, and recommendation systems.
Facilitates professional-grade astronomical data analysis and astrophysical calculations using the core Astropy Python library.
Processes digital pathology whole slide images (WSI) for tissue detection, tile extraction, and deep learning dataset preparation.
Performs advanced molecular manipulation, chemical property calculation, and 3D coordinate generation for cheminformatics workflows.
Simplifies the development and deployment of machine learning models for clinical data and healthcare applications.
Predicts 3D protein-ligand binding poses using state-of-the-art diffusion-based deep learning models for structure-based drug design.
Builds and deploys healthcare machine learning models using specialized tools for EHR data, clinical tasks, and medical coding systems.
Infers gene regulatory networks (GRNs) from transcriptomics data using scalable machine learning algorithms like GRNBoost2 and GENIE3.
Processes and analyzes diverse physiological signals including heart rate, brain activity, and respiratory patterns for research and clinical applications.
Analyzes and processes complex physiological signals like ECG, EEG, and EDA using the comprehensive NeuroKit2 Python library.
Processes and analyzes physiological biosignals including ECG, EEG, EDA, and respiratory patterns for psychophysiology and clinical research.
Performs advanced single-cell omics data analysis using probabilistic models for RNA-seq, ATAC-seq, and spatial transcriptomics.
Performs advanced molecular analysis, property calculation, and structural manipulation for cheminformatics workflows.
Automates laboratory workflows and controls hardware like liquid handlers, plate readers, and incubators using a unified Python interface.
Provides programmatic access to over 40 bioinformatics web services and databases for integrated biological data analysis and workflow automation.
Provides programmatic access to over 40 bioinformatics web services and databases for integrated biological data analysis.
Connects Claude to the European Nucleotide Archive (ENA) for retrieving genomic sequences, raw reads, and metadata.
Accesses and retrieves genomic data from the European Nucleotide Archive for bioinformatics research and pipelines.
Accesses and queries the Human Metabolome Database to retrieve detailed information on over 220,000 metabolites for research and analysis.
Simplifies retrieval of nucleotide sequences, raw reads, and genome assemblies from the European Nucleotide Archive for bioinformatics pipelines.
Accesses and analyzes NCBI Gene Expression Omnibus (GEO) datasets for transcriptomics and functional genomics research.
Transforms, cleans, and reshapes complex datasets using standard Python libraries like pandas and numpy for seamless data preprocessing.
Queries the NCBI Gene database to retrieve comprehensive genetic information, sequences, and functional annotations for biological research.
Provides comprehensive access to the Human Metabolome Database (HMDB) for metabolite identification, biomarker discovery, and clinical chemistry research.
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