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。
Conducts advanced biostatistical analysis of real-world data (RWD) using target trial emulation and propensity score methods.
Analyzes text data to identify emotional tone and classify sentiment polarity as positive, negative, or neutral.
Performs advanced multi-treatment comparisons using frequentist and Bayesian network meta-analysis methods in R.
Automates the creation, editing, and analysis of Excel spreadsheets with advanced formula support and financial modeling standards.
Implements group sequential design methods for clinical trial interim analyses, including alpha spending and futility stopping rules.
Implements and optimizes multiplicity adjustment procedures to control Family-Wise Error Rate (FWER) in clinical trial simulations.
Performs rigorous statistical modeling and econometric analysis using Python's statsmodels library.
Transforms chemical structures into machine learning-ready numerical features using over 100 specialized featurizers and pre-trained embeddings.
Manages annotated data matrices and metadata for single-cell genomics and high-dimensional biological datasets.
Accesses and analyzes comprehensive hedge fund time series data from the Office of Financial Research for financial stability and systemic risk research.
Accesses structured experimental data and deep insights from full-text scientific papers via the BGPT MCP server.
Provides comprehensive geospatial science capabilities for remote sensing, GIS analysis, and Earth observation workflows.
Explains machine learning model predictions and feature importance using Shapley Additive exPlanations (SHAP) across various model architectures.
Accesses UniProt's comprehensive protein sequence and functional information via REST API for bioinformatic analysis and data retrieval.
Integrates microscopy data management via the OMERO Python API for advanced image analysis and scientific workflow automation.
Performs advanced astronomical data analysis and astrophysical calculations using the core Astropy library.
Access and analyze transcription factor binding profiles from the JASPAR database to predict binding sites and interpret regulatory variants.
Processes and analyzes high-throughput sequencing data including BAM, VCF, and FASTA files using the htslib Python interface.
Queries NCBI ClinVar for genetic variant clinical significance and provides tools for pathogenicity interpretation and genomic data annotation.
Accesses and analyzes global public statistical data from the Data Commons knowledge graph directly within your AI workflow.
Performs constraint-based reconstruction and analysis of metabolic models for systems biology and metabolic engineering.
Accesses comprehensive pharmacogenomics data, clinical guidelines, and gene-drug interactions for precision medicine applications.
Develops, tests, and deploys clinical machine learning models using electronic health records and physiological data.
Processes and analyzes mass spectrometry data for metabolite identification and spectral matching.
Queries and analyzes over 240 million scholarly works, authors, and institutions using the open-source OpenAlex database.
Performs advanced numerical computing, matrix operations, and scientific data visualization using MATLAB and GNU Octave syntax.
Accesses and queries the Ensembl REST API to retrieve comprehensive genomic data, sequences, and variant information for over 250 species.
Performs and analyzes molecular dynamics simulations using OpenMM and MDAnalysis for biophysical research and drug discovery.
Queries the EMBL-EBI InterPro resource for comprehensive protein family, domain, and functional site annotations.
Conducts rigorous, checklist-based evaluations of scientific manuscripts and grant proposals to ensure methodological and statistical validity.
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