Considerations for building and using integrated single-cell atlases
The rapid adoption of single-cell technologies has created an opportunity to build single-cell
'atlases' integrating diverse datasets across many laboratories. Such atlases can serve as a …
'atlases' integrating diverse datasets across many laboratories. Such atlases can serve as a …
An in-depth comparison of linear and non-linear joint embedding methods for bulk and single-cell multi-omics
Multi-omic analyses are necessary to understand the complex biological processes taking
place at the tissue and cell level, but also to make reliable predictions about, for example …
place at the tissue and cell level, but also to make reliable predictions about, for example …
Novel multi-omics deconfounding variational autoencoders can obtain meaningful disease subty**
Unsupervised learning, particularly clustering, plays a pivotal role in disease subty** and
patient stratification, especially with the abundance of large-scale multi-omics data. Deep …
patient stratification, especially with the abundance of large-scale multi-omics data. Deep …
Variational graph autoencoder for reconstructed transcriptomic data associated with NLRP3 mediated pyroptosis in periodontitis
The NLRP3 inflammasome, regulated by TLR4, plays a pivotal role in periodontitis by
mediating inflammatory cytokine release and bone loss induced by Porphyromonas …
mediating inflammatory cytokine release and bone loss induced by Porphyromonas …
Early multi-cancer detection through deep learning: An anomaly detection approach using Variational Autoencoder
IT Sado, LF Fitime, GF Pelap, C Tinku… - Journal of Biomedical …, 2024 - Elsevier
Cancer is a disease that causes many deaths worldwide. The treatment of cancer is first and
foremost a matter of detection, a treatment that is most effective when the disease is detected …
foremost a matter of detection, a treatment that is most effective when the disease is detected …
Detecting subtle transcriptomic perturbations induced by lncRNAs knock-down in single-cell CRISPRi screening using a new sparse supervised autoencoder neural …
M Truchi, C Lacoux, C Gille, J Fassy… - Frontiers in …, 2024 - frontiersin.org
Single-cell CRISPR-based transcriptome screens are potent genetic tools for concomitantly
assessing the expression profiles of cells targeted by a set of guides RNA (gRNA), and …
assessing the expression profiles of cells targeted by a set of guides RNA (gRNA), and …
How Do Big Data and Generative AI Dawn on Computational Biology?
S Jauhari - Unraveling New Frontiers and Advances in …, 2024 - Springer
The theme of Generative AI has opened a nasty Pandora's Box in the recent epoch, where
there is an open debate on the benefits and caveats that it brings to the table. From current …
there is an open debate on the benefits and caveats that it brings to the table. From current …
Multimodální variační autoenkodér pro generování akcí na základě instrukcí
Š Gabriela - 2024 - dspace.cvut.cz
Multimodální variační autoenkodéry (VAE) jsou generativní modely umožňující propojení
jednotlivých datových vstupů do společné latentní reprezentace, nebo generování jedné …
jednotlivých datových vstupů do společné latentní reprezentace, nebo generování jedné …