Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Accesses the UniProt knowledgebase to search, retrieve, and map protein sequence and functional information.
Automates the creation of professional PDF documents, reports, and invoices using the robust ReportLab Python toolkit.
Provides procedural guidance for setting up HuggingFace model inference services using Flask, covering environment setup, model caching, and robust API implementation.
Migrates legacy Python 2 scientific computing code to Python 3 using modern libraries like pandas, numpy, and pathlib.
Provides advanced protein language models for generating novel sequences, predicting structures, and creating high-quality embeddings for protein engineering and scientific research.
Executes autonomous multi-step biomedical research tasks including genomics analysis, drug discovery, and clinical interpretation.
Provides unified access to 20+ genomic databases and bioinformatics tools for gene information, sequence analysis, and protein structure prediction.
Manipulates and manages AnnData objects for single-cell genomics workflows, including scRNA-seq data processing and file management.
Simplifies genomic data processing by providing a Pythonic interface for reading, writing, and manipulating SAM, BAM, CRAM, and VCF files.
Predicts high-accuracy 3D binding poses for protein-ligand complexes using diffusion-based deep learning models.
Builds and deploys machine learning models for complex time series tasks like forecasting, classification, and anomaly detection.
Provides programmatic access to over 40 bioinformatics web services for biological data retrieval, identifier mapping, and pathway analysis.
Architects sophisticated LLM applications using the LangChain framework with support for autonomous agents, memory management, and RAG patterns.
Builds robust Retrieval-Augmented Generation systems using vector databases, semantic search, and optimized retrieval pipelines.
Explains machine learning model predictions and feature importance using Shapley values to provide transparent and actionable AI insights.
Provides systematic guidance for identifying, verifying, and extracting current performance data from machine learning benchmarks and embedding leaderboards.
Analyzes market events and policy changes using rigorous economic frameworks and diverse schools of thought.
Performs comprehensive single-cell RNA-seq data analysis and visualization using the Scanpy Python framework.
Facilitates programmatic access and analysis of the CZ CELLxGENE Census database containing over 61 million single-cell genomics records.
Processes and analyzes physiological signals including ECG, EEG, EDA, and respiratory patterns for research and clinical applications.
Simplifies the development and training of Graph Neural Networks (GNNs) for deep learning on irregular and relational data structures.
Performs comprehensive hypothesis testing, regression analysis, and Bayesian statistics with automated assumption checking and APA-style reporting.
Provides AI-ready datasets, benchmarks, and molecular oracles for drug discovery and therapeutics machine learning.
Automates materials science workflows including crystal structure analysis, phase diagrams, and Materials Project integration.
Builds production-grade LLM applications using structured pipelines, task-model fit analysis, and deterministic architecture patterns.
Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and comparative benchmarking.
Automates complex Excel data processing, visualization, and formatting using powerful Python libraries like Pandas and OpenPyXL.
Parses and manipulates Flow Cytometry Standard (FCS) files to extract event data as NumPy arrays and manage metadata.
Applies medicinal chemistry rules and structural alerts to triage and prioritize compound libraries for drug discovery workflows.
Accesses and retrieves gene expression and functional genomics data from the NCBI Gene Expression Omnibus (GEO) repository.
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