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lobster-ml

Machine learning and deep learning for biological data analysis and framework export.

Installation

# Basic installation
pip install lobster-ml

# With deep learning dependencies (scVI, PyTorch)
pip install lobster-ml[ml]

Agents

Agent Description
machine_learning_expert ML specialist for biological data. Feature engineering, data splitting, framework export, and deep learning embeddings.

Services

Service Purpose
MLPreparationService Feature selection, scaling, and train/test/validation splitting
MLTranscriptomicsServiceALPHA Transcriptomics-specific ML workflows (ALPHA)
MLProteomicsServiceALPHA Proteomics-specific ML workflows (ALPHA)
scVIEmbeddingService Deep learning embeddings using scVI for single-cell data

Features

ML Readiness Assessment

  • Evaluate biological datasets for machine learning suitability
  • Check sample size, class balance, and feature quality
  • Identify potential data leakage and batch effects
  • Recommend preprocessing steps before ML pipeline

Feature Engineering

  • Highly variable gene selection for dimensionality reduction
  • PCA-based feature extraction with variance thresholds
  • Marker gene features from differential expression
  • Z-score normalization and scaling

Data Splitting

  • Stratified train/test/validation splits
  • Configurable split ratios (default: 70/15/15)
  • Class balance preservation across splits
  • Batch-aware splitting to prevent data leakage

Framework Export

  • NumPy arrays for scikit-learn workflows
  • CSV export for general ML frameworks
  • PyTorch tensor datasets with DataLoader support
  • TensorFlow NPZ format for Keras models

Deep Learning Embeddings

  • scVI integration for variational autoencoder embeddings
  • Latent space visualization and clustering
  • Transfer learning from pre-trained models
  • GPU acceleration when available

Requirements

  • Python 3.12+
  • lobster-ai >= 1.0.0
  • Optional: torch, scvi-tools (for deep learning features)

Tier Requirement

This is a premium agent. Access is controlled at runtime via Lobster AI's tier system.

Documentation

Full documentation: docs.omics-os.com/docs/agents/ml

License

MIT

Metadata

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