13059_2020_2100_MOESM9_ESM.xlsx (67.71 kB)

Additional file 9 of Knowledge-primed neural networks enable biologically interpretable deep learning on single-cell sequencing data

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posted on 2020-08-04, 04:20 authored by Nikolaus Fortelny, Christoph Bock

Additional file 9: Table S7. Differential node weights comparing GEN KPNNs trained to distinguish different molecular subtypes of glioblastoma.

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Austrian Science Fund European Research Council European Molecular Biology Organization

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Artificial Intelligence and Image Processing

Keywords

Deep learning Artificial neural networks Single-cell sequencing Gene regulation Cell signaling networks Functional genomics Interpretable machine learning Bioinformatic modeling

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