Data Science & ML Habilidades de Claude

Symmetry Validation Suite

Validates symmetry hypotheses in datasets and models through empirical invariance and equivariance testing protocols.

Scientific Visualization

Generates publication-ready scientific figures with journal-specific styling, colorblind-safe palettes, and high-resolution export formats.

Scientific Hypothesis Generation

Generates evidence-based, testable scientific hypotheses and structured experimental designs to accelerate research and discovery.

OMERO Integration

Integrates with OMERO microscopy data management platforms to programmatically manage, visualize, and analyze biological images and metadata.

DiffDock Molecular Docking

Predicts accurate protein-ligand binding poses and 3D structures using state-of-the-art diffusion-based deep learning models.

Scientific Compute Resource Detector

Analyzes system hardware to generate optimized strategic recommendations for computationally intensive scientific and machine learning tasks.

Stable Baselines3 RL Integration

Implements reinforcement learning workflows including agent training, custom environment design, and model evaluation using Stable Baselines3.

DeepChem Molecular ML

Simplifies molecular machine learning and drug discovery tasks using the DeepChem toolkit for property prediction and GNNs.

Exploratory Scientific Data Analysis

Performs comprehensive exploratory data analysis and generates detailed reports for over 200 scientific file formats.

Design of Experiments

Optimizes complex multi-factor systems through systematic statistical experimental design and structured parameter tuning.

Market Mechanics & Betting

Translates probabilistic beliefs into actionable betting decisions and optimized resource allocation strategies.

NetworkX Graph Analysis

Provides a comprehensive toolkit for creating, manipulating, and analyzing complex network structures and graph algorithms in Python.

ClinicalTrials.gov Database

Queries and analyzes global clinical trial data from the ClinicalTrials.gov API v2 for medical research and patient matching.

Meta Prompt Engineering

Transforms vague instructions into structured, constraint-aware prompts for consistent and high-quality AI outputs.

LatchBio Integration

Builds and deploys serverless bioinformatics pipelines using the Latch SDK with specialized decorators and cloud data management.

Denario: Scientific Research Automator

Automates end-to-end scientific research workflows from data-driven hypothesis generation to publication-ready LaTeX manuscripts.

Data Commons Statistical Client

Accesses and analyzes global public statistical data from authoritative sources via the Data Commons knowledge graph.

AnnData for Single-Cell Genomics

Manages annotated data matrices and metadata for single-cell genomics and large-scale biological datasets using the AnnData framework.

Pysam Genomics Toolkit

Processes genomic datasets including sequence alignments, variants, and reference sequences using a Pythonic interface to htslib.

Pymoo Optimization

Solves complex single and multi-objective optimization problems using evolutionary algorithms and Pareto front analysis.

Adaptyv Protein Design

Automates protein sequence optimization and experimental validation through a cloud-based wet-lab platform.

Dask Parallel Computing

Scales Python data workflows across multiple cores and machines for larger-than-RAM datasets using parallel and distributed computing.

Vaex Big Data Processing

Enables high-performance analysis and visualization of tabular datasets with billions of rows using lazy, out-of-core DataFrames.

PyTDC (Therapeutics Data Commons)

Provides AI-ready datasets, benchmarks, and molecular oracles for drug discovery and therapeutic machine learning.

ClinVar Genomic Database

Queries and interprets NCBI ClinVar genetic variant data to provide clinical significance classifications and genomic annotations.

Medicinal Chemistry Toolkit

Applies medicinal chemistry filters, drug-likeness rules, and structural alerts for molecular prioritization in drug discovery.

GWAS Catalog Database

Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variants, SNP-trait associations, and comprehensive genomic summary statistics.

Scikit-Survival for Python

Implements advanced survival analysis and time-to-event modeling using the scikit-survival library in Python.

Molfeat Molecular Featurization

Simplifies molecular featurization by providing access to over 100 pre-trained embeddings and hand-crafted featurizers for machine learning.

PyTorch Lightning

Organizes PyTorch code into scalable, boilerplate-free modules and automates complex deep learning training workflows.