Data Science & ML Habilidades de Claude

LatchBio Integration

Builds and deploys serverless bioinformatics workflows using the Latch Python SDK and cloud infrastructure.

Arboreto GRN Inference

Infers gene regulatory networks from expression data using high-performance machine learning algorithms like GRNBoost2 and GENIE3.

Urban Planner Analyst

Analyzes urban development and spatial organization using professional planning frameworks, zoning regulations, and sustainability metrics.

Adaptive Rejection Sampler

Provides specialized guidance for implementing efficient Adaptive Rejection Sampling algorithms for log-concave probability distributions.

Polars High-Performance Data Analysis

Optimizes data processing workflows using the high-performance Polars DataFrame library and expression API.

Biomni

Executes autonomous multi-step biomedical research tasks including genomics analysis, drug discovery, and clinical interpretation.

ENA Database Access

Accesses the European Nucleotide Archive to retrieve genomic sequences, raw reads, and metadata for bioinformatics pipelines.

UniProt Database Search & Mapping

Accesses the UniProt knowledgebase to search, retrieve, and map protein sequence and functional information.

PyTorch Geometric (PyG)

Simplifies the development and training of Graph Neural Networks (GNNs) for deep learning on irregular and relational data structures.

FlowIO Flow Cytometry Handler

Parses and manipulates Flow Cytometry Standard (FCS) files to extract event data as NumPy arrays and manage metadata.

HuggingFace Model Inference

Provides procedural guidance for setting up HuggingFace model inference services using Flask, covering environment setup, model caching, and robust API implementation.

RAG Implementation Toolkit

Builds robust Retrieval-Augmented Generation systems using vector databases, semantic search, and optimized retrieval pipelines.

Pysam Bioinformatics Toolkit

Simplifies genomic data processing by providing a Pythonic interface for reading, writing, and manipulating SAM, BAM, CRAM, and VCF files.

Treasure Data Parent Segment Analysis

Queries and analyzes Treasure Data CDP parent segments to uncover deep customer insights and behavioral patterns.

Scanpy Single-Cell Analysis

Performs comprehensive single-cell RNA-seq data analysis and visualization using the Scanpy Python framework.

CZ CELLxGENE Census

Facilitates programmatic access and analysis of the CZ CELLxGENE Census database containing over 61 million single-cell genomics records.

Scientific Resource Detection & Strategy

Identifies system hardware capabilities and provides data-driven recommendations for optimizing computationally intensive tasks like model training and large-scale data processing.

Excel Analysis & Automation

Automates complex Excel data processing, visualization, and formatting using powerful Python libraries like Pandas and OpenPyXL.

STRING Database Analysis

Queries the STRING database to analyze protein-protein interaction networks and perform comprehensive functional enrichment for systems biology.

ML Model Leaderboard Navigator

Provides systematic guidance for identifying, verifying, and extracting current performance data from machine learning benchmarks and embedding leaderboards.

NeuroKit2 Biosignal Processing

Processes and analyzes physiological signals including ECG, EEG, EDA, and respiratory patterns for research and clinical applications.

Scientific Critical Thinking

Evaluates scientific rigor by assessing research methodology, statistical validity, and potential biases using industry-standard frameworks.

LLM Inference Batching Scheduler

Optimizes LLM inference request grouping and scheduling to minimize operational costs while satisfying latency and padding constraints.

LangChain Architecture

Architects sophisticated LLM applications using the LangChain framework with support for autonomous agents, memory management, and RAG patterns.

Modernize Scientific Stack

Migrates legacy Python 2 scientific computing code to Python 3 using modern libraries like pandas, numpy, and pathlib.

ARC-AGI Git Merge & Pattern Tasks

Facilitates solving complex pattern recognition tasks by combining git workflow management with mathematical grid transformation analysis and implementation.

Open Targets Scientific Database

Queries the Open Targets Platform to identify therapeutic drug targets, evaluate disease associations, and analyze clinical trial data.

Raman Spectroscopy Peak Fitting

Analyzes and fits peaks in Raman spectroscopy data using physically-constrained models like Lorentzian, Gaussian, and Voigt functions.

PyTorch Model Recovery

Reconstructs PyTorch model architectures from weight files and state dictionaries by analyzing tensor shapes and naming patterns.

Data Resharding and Partitioning

Reorganizes large-scale datasets into hierarchical directory structures while enforcing strict file size and item count constraints.