Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data
Research output: Contribution to journal › Journal article › peer-review
Documents
- Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data
Final published version, 2.12 MB, PDF document
Original language | English |
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Article number | 379 |
Journal | BMC Bioinformatics |
Volume | 20 |
Number of pages | 9 |
ISSN | 1471-2105 |
DOIs | |
Publication status | Published - 2019 |
- Interpretable machine learning, Deep learning, Neural networks, Manifold learning, Expression profiles, Single-cell RNA-sequencing, Gene set enrichment analysis, Functional analysis, Biological pathway analysis
Research areas
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