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
Documentation
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file msAI-1.3.1.dev0.tar.gz.
File metadata
- Download URL: msAI-1.3.1.dev0.tar.gz
- Upload date:
- Size: 14.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7dc6b1f2bbd0ba7dcd3d3eb67b69527d89003462828b141d527cba395725e415 |
|
| MD5 | bf7f009a0594b09257a2f3a0875b2dbc |
|
| BLAKE2b-256 | 845426a84a64f89210e3b8d5760a0177701cadfe6b14840a1e0587cfa1273bbe |
File details
Details for the file msAI-1.3.1.dev0-py3-none-any.whl.
File metadata
- Download URL: msAI-1.3.1.dev0-py3-none-any.whl
- Upload date:
- Size: 16.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9aed4c417077822948bcc2212f27ebbeb3c8bc90d4cc0f0627a923adc7b4db0d |
|
| MD5 | 233388b519126f9ca5676b2196200004 |
|
| BLAKE2b-256 | cb98ca45461fbbc7d10de78307164f4a0c65442ed212341d35e9a1d49b531693 |
