Metadata-Version: 2.1
Name: msAI
Version: 1.2.0.dev0
Summary: Tools to create AI models for mass spectrometry data
Home-page: https://github.com/IsotopeC/msAI
Author: Calvin Peters
Author-email: calvin.isotope@gmail.com
License: UNKNOWN
Description: 
        ############
        Introduction
        ############
        
        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.
        
        
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        Overview
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        *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
        
        
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        Installation
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        Install from the Python Package Index (PyPI)::
        
            pip install msAI
        
        
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        Documentation
        *************
        
        https://msai.readthedocs.io
        
        
Keywords: AI models mass spectrometry MS data mzML spectrum ion chromatogram TIC extracted-ion EIC XIC machine learning artificial intelligence deep neural network
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires-Python: >3.6
Description-Content-Type: text/x-rst
