Bacterial species identification using MALDI-TOF mass spectrometry

Supervised topological data analysis for MALDI mass spectrometry imaging applications, BMC Bioinformatics

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Results of the bacterial identification using artificial neural

Frontiers Efficiently Predicting Vancomycin Resistance of Enterococcus Faecium From MALDI-TOF MS Spectra Using a Deep Learning-Based Approach

PDF) Bacterial species identification using MALDI-TOF mass spectrometry and machine learning techniques: A large-scale benchmarking study

Frontiers Editorial: MALDI-TOF MS in microbiological diagnostics: future applications beyond identification

Bacterial species identification using MALDI-TOF mass spectrometry and machine learning techniques: A large-scale benchmarking study - ScienceDirect

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Accurate noise-robust classification of Bacillus species from MALDI-TOF MS spectra using a denoising autoencoder

NeuralBeds: Neural embeddings for efficient DNA data compression and optimized similarity search - Computational and Structural Biotechnology Journal

Frontiers Efficiently Predicting Vancomycin Resistance of Enterococcus Faecium From MALDI-TOF MS Spectra Using a Deep Learning-Based Approach

MALDI-TOF spectral profiles and characteristic peaks for each of the