Cargando…
Shallow Sparsely-Connected Autoencoders for Gene Set Projection
When analyzing biological data, it can be helpful to consider gene sets, or predefined groups of biologically related genes. Methods exist for identifying gene sets that are differential between conditions, but large public datasets from consortium projects and single-cell RNA-Sequencing have opened...
Autores principales: | Gold, Maxwell P., LeNail, Alexander, Fraenkel, Ernest |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6417803/ https://www.ncbi.nlm.nih.gov/pubmed/30963076 |
Ejemplares similares
-
Sparsely-connected autoencoder (SCA) for single cell RNAseq data mining
por: Alessandri, Luca, et al.
Publicado: (2021) -
Sparsely Connected Autoencoders: A Multi-Purpose Tool for Single Cell omics Analysis
por: Alessandri, Luca, et al.
Publicado: (2021) -
Sparse Convolutional Denoising Autoencoders for Genotype Imputation
por: Chen, Junjie, et al.
Publicado: (2019) -
Classification of Thyroid Nodules with Stacked Denoising Sparse Autoencoder
por: Li, Zexin, et al.
Publicado: (2020) -
Transformer fault diagnosis using continuous sparse autoencoder
por: Wang, Lukun, et al.
Publicado: (2016)