m2aia/pym2aia
pyM²aia is a Python package for memory-efficient access and processing of mass spectrometry image data. The I/O functionality is derived from the interactive desktop application M²aia. Special features are the batch generator utilities for deep learning applications.
This tool helps scientists and researchers in mass spectrometry streamline the processing of large mass spectrometry imaging (MSI) datasets. You can input raw imzML files (both centroid and profile data) to perform signal processing like baseline correction and normalization. The output includes processed ion images or continuous centroid imzML files, making it easier to prepare data for advanced analysis or deep learning applications.
No commits in the last 6 months.
Use this if you are a mass spectrometry researcher who needs to efficiently process and analyze large MSI datasets, especially for deep learning applications, without being limited by memory.
Not ideal if you need a graphical user interface for interactive data exploration, as this tool primarily provides programmatic access and processing capabilities.
Stars
8
Forks
3
Language
Jupyter Notebook
License
BSD-3-Clause
Category
Last pushed
Dec 11, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/m2aia/pym2aia"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
arogozhnikov/hep_ml
Machine Learning for High Energy Physics.
CompPhysics/ComputationalPhysics2
Advanced course in Computational Physics, see texbook at...
FNALLPC/machine-learning-hats
FNAL LPC Machine Learning HATS
DeepLearningForPhysicsResearchBook/deep-learning-physics
This project contains additional material for the textbook Deep Learning for Physics Research by...
desy-ml/cheetah
Fast and differentiable particle accelerator optics simulation for reinforcement learning and...