mass-spectrometry-imaging

There are 2 repositories under mass-spectrometry-imaging topic.

AlanRace / SpectralAnalysis
Software for the analysis and interactive exploration of spectral imaging data
mass-spectrometry-imaging visualisation machine-learning multivariate-analysis
Language:MATLAB 29
m2aia
m2aia / m2aia
Mass spectrometry imaging applications for interactive analysis in MITK (M²aia)
interactive-analysis mass-spectrometry-imaging 3d-reconstruction multi-modal docker
Language:C++ 19
AlanRace / imzMLConverter
Tool for converting mass spectrometry data to the imzML format.
imzml converter mass-spectrometry-imaging converting-data
Language:Java 15
gmrukwa / divik
Divisive Intelligent K-Means algorithm (DiviK) for joint feature selection and clustering of heavily multidimensional data.
clustering machine-learning divik mass-spectrometry-imaging single-cell-rna-seq omics-analysis feature-selection feature-engineering auto-ml unsupervised-auto-ml auto-clustering divisive-intelligent-kmeans gap dunn
Language:Python 12
novak-jiri / cyclobranch
A tool for mass spectrometry data analysis.
mass-spectrometry mass-spectrometry-imaging bioinformatics bioinformatics-tool peptides peptide-identification mzml imzml ms-data lc-ms maldi-msi desi-msi image-fusion imaging metabolomics dereplication de-novo
Language:C++ 9
mjoppich / pIMZ
This framework allows to perform scRNA-seq-like analyses of imaging mass-spectrometry data. Check out the example jupyter-notebook in examples/
mass-spectrometry mass-spectrometry-imaging ims msi imzml
Language:Jupyter Notebook 7
mass2adduct
kbseah / mass2adduct
Analysis of matrix-metabolite adducts in MALDI mass spectrometry imaging datasets
mass-spectrometry mass-spectrometry-imaging msi-data adducts mass-differences
Language:R 6
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.
mass-spectrometry-imaging python deep-learning
Language:Jupyter Notebook 5
paoloinglese / SPUTNIK
SPUTNIK R package
mass-spectrometry image-processing bioinformatics maldi-tof-ms desi-msi maldi-msi mass-spectrometry-imaging
Language:R 4
Immunodynamics-Engel-Lab / msiflow
collection of mass spectrometry imaging workflows
mass-spectrometry-imaging multimodal snakemake immunofluorescence
Language:Python 3
YonghuiDong / ShinyCardinal
Shiny App for Mass Spectrometry Imaging
desi-msi maldi-ims maldi-msi mass-spectrometry-imaging msi r shiny sims
Language:HTML 3
imzML / imzML
A common data format for mass spectrometry imaging
mass-spectrometry-imaging standard format
2
spectre-team / spectre
This project provides an Spectre's implementation of Data Mining Group's algorithms for processing mass spectrometry imaging (MSI) datasets.
msi gaussian-mixture-models proteomics classification clustering mass-spectrometry-imaging tumor-heterogeneity pattern-recognition
Language:TypeScript 2
gmrukwa / msi-preprocessing-pipeline
Default preprocessing pipeline for MSI data in raw ASCII format based on Gaussian Mixture Modeling (GMM)
mass-spectrometry-imaging preprocessing normalization maldi-msi feature-extraction
Language:Python 1
leorrose / SLGC-tissue-similarity-and-grading
Nondestructive Spatial Lipidomics for Glioma Classification - Tissue Similarity and Grading
cancer-research deep-learning glioma machine-learning mass-spectrometry-imaging processing statistics visualization
Language:Python 1
paoloinglese / ion_colocalization
Scripts used for the paper Inglese, P., Correia, G., Pruski, P., Glen, R. C., & Takats, Z. (2019). Colocalization features for classification of tumors using desorption electrospray ionization mass spectrometry imaging. Analytical chemistry.
mass-spectrometry mass-spectrometry-imaging desi tumor-segmentation tumor-heterogeneity
Language:R 1
zaritskylab / SLGC-tissue-similarity-and-grading
Nondestructive Spatial Lipidomics for Glioma Classification - Tissue Similarity and Grading
cancer-research deep-learning glioma machine-learning mass-spectrometry-imaging processing statistics visualization
Language:Python 1
jamzad / SlicerMassVision
A 3D Slicer module for end-to-end analysis of mass spectrometry imaging data
3d-slicer-extension machine-learning mass-spectrometry-imaging
Language:Python
lukasz-migas / IMSC_2018_poster
Repository of materials used in poster for IMSC 2018
imaging-mass-spectrometry mass-spectrometry mass-spectrometry-imaging machine-learning
Language:HTML
YonghuiDong / MSI_Colocalization
Demo code for publication PICA
maldi mass-spectrometry-imaging r

mass-spectrometry-imaging

AlanRace / SpectralAnalysis

m2aia / m2aia

AlanRace / imzMLConverter

gmrukwa / divik

novak-jiri / cyclobranch

mjoppich / pIMZ

kbseah / mass2adduct

m2aia / pym2aia

paoloinglese / SPUTNIK

Immunodynamics-Engel-Lab / msiflow

YonghuiDong / ShinyCardinal

imzML / imzML

spectre-team / spectre

gmrukwa / msi-preprocessing-pipeline

leorrose / SLGC-tissue-similarity-and-grading

paoloinglese / ion_colocalization

zaritskylab / SLGC-tissue-similarity-and-grading

jamzad / SlicerMassVision

lukasz-migas / IMSC_2018_poster

YonghuiDong / MSI_Colocalization