Topic: mass-spectrometry-imaging Goto Github
Some thing interesting about mass-spectrometry-imaging
Some thing interesting about mass-spectrometry-imaging
mass-spectrometry-imaging,Tool for converting mass spectrometry data to the imzML format.
User: alanrace
mass-spectrometry-imaging,Software for the analysis and interactive exploration of spectral imaging data
User: alanrace
Home Page: https://alanrace.github.io/SpectralAnalysis/
mass-spectrometry-imaging,Divisive Intelligent K-Means algorithm (DiviK) for joint feature selection and clustering of heavily multidimensional data.
User: gmrukwa
Home Page: https://sut-data-mining.gitbook.io/divik/
mass-spectrometry-imaging,Default preprocessing pipeline for MSI data in raw ASCII format based on Gaussian Mixture Modeling (GMM)
User: gmrukwa
Home Page: http://zaed.aei.polsl.pl/
mass-spectrometry-imaging,A common data format for mass spectrometry imaging
Organization: imzml
Home Page: http://imzml.org/
mass-spectrometry-imaging,Analysis of matrix-metabolite adducts in MALDI mass spectrometry imaging datasets
User: kbseah
mass-spectrometry-imaging,Repository of materials used in poster for IMSC 2018
User: lukasz-migas
mass-spectrometry-imaging,Mass spectrometry imaging applications for interactive analysis in MITK (M²aia)
Organization: m2aia
Home Page: https://m2aia.github.io/m2aia
mass-spectrometry-imaging,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.
Organization: m2aia
Home Page: https://m2aia.github.io/m2aia
mass-spectrometry-imaging,This framework allows to perform scRNA-seq-like analyses of imaging mass-spectrometry data. Check out the example jupyter-notebook in examples/
User: mjoppich
mass-spectrometry-imaging,A tool for mass spectrometry data analysis.
User: novak-jiri
Home Page: https://ms.biomed.cas.cz/cyclobranch/
mass-spectrometry-imaging,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.
User: paoloinglese
mass-spectrometry-imaging,SPUTNIK R package
User: paoloinglese
Home Page: https://paoloinglese.github.io/SPUTNIK/
mass-spectrometry-imaging,This project provides an Spectre's implementation of Data Mining Group's algorithms for processing mass spectrometry imaging (MSI) datasets.
Organization: spectre-team
Home Page: https://spectre-team.github.io/
mass-spectrometry-imaging,Demo code for publication PICA
User: yonghuidong
mass-spectrometry-imaging,Shiny App for Mass Spectrometry Imaging
User: yonghuidong
mass-spectrometry-imaging,Nondestructive Spatial Lipidomics for Glioma Classification - Tissue Similarity and Grading
Organization: zaritskylab
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