Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Manages systematic literature screening by evaluating titles and abstracts against formal research protocols to generate auditable logs.
Extracts taxonomy seeds and hierarchical topics from academic survey papers to bootstrap research structures.
Audits research claims against supporting evidence to identify gaps, unsupported assertions, and weak evaluation protocols.
Standardizes and populates risk-of-bias assessment fields in evidence extraction tables to ensure research quality and transparency.
Extracts structured evidence, methods, and results from research papers into a queryable JSONL format for automated research pipelines.
Synthesizes structured research data into comprehensive, evidence-backed narratives for systematic reviews.
Queries and interprets NCBI ClinVar data to identify the clinical significance of human genetic variants.
Generates and tests scientific hypotheses from observational datasets and research literature using automated LLM frameworks.
Generates structured, multi-level research taxonomies from paper sets to anchor survey outlines and content mapping.
Refines LaTeX academic prose by optimizing sentence rhythm, removing filler phrases, and preserving citation integrity.
Generates comprehensive ML/AI review papers using the IEEEtran LaTeX template with verified BibTeX citations and structured issue tracking.
Generates professional, publication-quality plots and data visualizations using Python's foundational plotting library.
Provides comprehensive tools for molecular analysis, chemical property calculation, and 3D coordinate generation.
Automates life sciences research workflows by integrating Benchling's registry, inventory, and notebook systems via Python SDK and REST API.
Builds and validates sophisticated Bayesian models using PyMC for probabilistic programming and statistical inference.
Queries the Ensembl REST API to retrieve genomic sequences, gene annotations, and variant data for over 250 species.
Implements robust evaluation strategies for large language model applications using automated metrics, human feedback, and LLM-as-judge patterns.
Automates Excel spreadsheet manipulation, data analysis, and professional reporting using Python-based data science libraries.
Analyzes spreadsheets, generates pivot tables, and automates complex data processing tasks using Python and pandas.
Interfaces with the European Nucleotide Archive to programmatically retrieve DNA/RNA sequences, raw reads, and genome metadata.
Accesses and retrieves genomic data from the European Nucleotide Archive (ENA) via REST APIs and FTP for bioinformatics pipelines.
Access and analyze NCBI Gene Expression Omnibus (GEO) data for transcriptomics and functional genomics research.
Empowers drug discovery and molecular analysis by integrating the DeepChem toolkit for property prediction, featurization, and graph neural networks.
Accesses and retrieves gene expression and functional genomics data from the NCBI Gene Expression Omnibus (GEO).
Simplifies searching, downloading, and analyzing gene expression datasets from the NCBI Gene Expression Omnibus (GEO) repository.
Queries the openFDA API to retrieve and analyze data on drugs, medical devices, food safety, and adverse events.
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
Analyzes single-cell omics data using deep generative models for batch correction, integration, and differential expression.
Accesses over 600 scientific tools and databases for bioinformatics, drug discovery, and computational biology research.
Accesses and searches the bioRxiv preprint server to retrieve life sciences research metadata and download full-text PDFs.
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