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bioRxiv (Cold Spring Harbor Laboratory)
Deep learning-based proteomics enables accurate classification of bulk and single-cell samples
February 2024 • Karl Kristian Krull, Arlene Kühn, Julia Höhn, Titus J. Brinker, Jeroen Krijgsveld
Abstract Proteins are the main drivers of cell function and disease, making their analysis a powerful technique to characterize determinants of cell identity and to identify biomarkers. Current proteomic technology has the breadth to profile thousands of proteins and even the sensitivity to access single cells, however limitations in throughput restrict its application, e.g. not allowing classification of samples according to biological or clinical status in large sample cohorts. Therefore, we developed a deep lea…
Proteomics
Computer Science
Convolutional Neural Network
Artificial Intelligence
Deep Learning
Computational Biology
Machine Learning
Bioinformatics
Biology
Chemistry
Chromatography
Biochemistry