Data Science & ML Claude 技能

Structured Decompositions

Applies category theory and sheaves on tree decompositions to solve complex combinatorial problems with Fixed-Parameter Tractable (FPT) algorithms.

Aeon Time Series Machine Learning

Performs specialized time series machine learning tasks including classification, forecasting, and anomaly detection using scikit-learn compatible algorithms.

Astropy Scientific Computing

Provides comprehensive tools for astronomical data analysis, including coordinate transformations, unit conversions, and FITS file manipulation.

Genomic Interval Machine Learning

Builds and trains machine learning models on genomic interval data to generate embeddings for regions, single cells, and metadata.

Vector Field Dynamics

Models and analyzes dynamical systems by assigning vectors to points in phase space to define complex flows and trajectories.

Research Ethics & Compliance

Provides PhD-level guidance on research ethics, IRB compliance, and data privacy analysis for study protocols and algorithmic models.

Data Cleaning Pipeline Generator

Automates the creation of robust data cleaning and preprocessing pipelines for Python-based data science workflows.

Effect Size Calculation

Calculates and interprets standardized effect sizes to quantify the practical significance of research findings beyond statistical significance.

RDKit Cheminformatics Toolkit

Performs advanced molecular analysis, descriptor calculation, and chemical informatics using the RDKit library.

PolicyEngine Aggregation Patterns

Standardizes variable summation and entity aggregation within the PolicyEngine microsimulation framework.

Treasure Data Python SDK

Streamlines data querying and ingestion between Python analytical workflows and Treasure Data using the official pytd SDK.

DisCoPy String Diagram Framework

Computes and visualizes monoidal categories, quantum circuits, and natural language structures using string diagrams.

Invariant Measure Analysis

Analyzes and defines measures preserved by flows in dynamical systems to understand long-term qualitative behavior.

BibFilter

Filters and organizes bibliography entries by author, year, keyword, and entry type to streamline research workflows.

Hi-C A/B Compartment Analysis

Performs PCA-based A/B compartment calling and interaction analysis on Hi-C genomic datasets.

Nested TAD Detection

Identifies hierarchical Topologically Associating Domain (TAD) structures from Hi-C contact maps using the OnTAD algorithm.

Methylation & Chromatin Feature Correlation

Integrates DNA methylation data with chromatin features like ATAC-seq and histone marks to analyze epigenomic relationships and regulatory patterns.

Multiversal Finance

Implements decentralized prediction markets for pattern discovery based on curiosity-driven compression progress metrics.

Chromatin State Inference

Analyzes histone modification ChIP-seq data to segment the genome into discrete chromatin states using ChromHMM workflows.

BAM Filtration

Filters raw BAM files by removing mitochondrial reads, PCR duplicates, and blacklisted regions to prepare genomic data for peak calling.

De Novo Motif Discovery

Identifies novel and known transcription factor binding motifs within genomic regions or gene promoters using the HOMER analysis suite.

Hi-C Matrix Quality Control

Performs standardized quality control analysis on Hi-C contact matrices to evaluate genomic data depth, uniformity, and reproducibility.

Implicit Coordination

Facilitates high-performance multi-agent coordination through environmental stigmergy and trace-based state modification instead of message passing.

Hi-C Compartment Shift Analysis

Performs A/B compartment shift analysis between Hi-C samples using PC1 eigenvector values and replicate-aware statistical methods.

Global Methylation Profiling

Performs genome-wide DNA methylation analysis to characterize patterns, genomic feature distributions, and sample similarities from sequencing data.

DiscoPy Operads

Facilitates computational category theory and operadic composition for advanced AI modeling and string diagram manipulation.

Differential TAD Analysis

Performs differential topologically associating domain (TAD) analysis to identify significant chromatin architecture changes between experimental conditions using HiCExplorer.

Local Methylation Profiling

Generates and visualizes DNA methylation distribution patterns around specific genomic features such as promoters, enhancers, or transcription factor binding sites.

Hi-C TAD Calling & Visualization

Identifies topologically associating domains (TADs) from Hi-C data and generates high-resolution contact map visualizations with boundary overlays.

Alignment Quality Control

Evaluates technical mapping statistics for ChIP-seq and ATAC-seq BAM files to ensure data integrity and aligner performance before downstream analysis.