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Tools to create AI models for mass spectrometry data

Project description

msAI - Software Tools to Create AI Models for Mass Spectrometry Data

Note: msAI is in development. Currently, all releases are development previews. Features are incomplete and may change.

Overview

msAI provides a library of python modules for…

  • Extracting data from mass spectrometry data files

    • Supported MS file types: mzML, TBD…
  • Importing sample metadata

    • Unify MS data and sample metadata in a single view
  • Partitioning data for training, testing, and validation

  • Quality analysis of MS runs / samples

    • Metadata verification
    • Anomaly detection
  • Plotting / visualization

  • AI / machine learning frameworks

    • TensorFlow
    • TBD…
  • Creating AI models

    • Neural network architectures - neuron layers, connections, activation functions
    • Model training - loss and optimization functions, hyperparameter tuning
    • Evaluation of models - measure accuracy, prevent overfitting
  • Model lifecycle management

    • Deploy, update, backup, restore

Installation

Install from the Python Package Index (PyPI):

pip install msAI

Project details


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Files for msAI, version 1.3.1.dev0
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Filename, size msAI-1.3.1.dev0-py3-none-any.whl (16.9 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size msAI-1.3.1.dev0.tar.gz (14.4 kB) File type Source Python version None Upload date Hashes View hashes

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