Cargando…
deepSimDEF: deep neural embeddings of gene products and gene ontology terms for functional analysis of genes
MOTIVATION: There is a plethora of measures to evaluate functional similarity (FS) of genes based on their co-expression, protein–protein interactions and sequence similarity. These measures are typically derived from hand-engineered and application-specific metrics to quantify the degree of shared...
Autores principales: | Pesaranghader, Ahmad, Matwin, Stan, Sokolova, Marina, Grenier, Jean-Christophe, Beiko, Robert G, Hussin, Julie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9154256/ https://www.ncbi.nlm.nih.gov/pubmed/35536192 http://dx.doi.org/10.1093/bioinformatics/btac304 |
Ejemplares similares
-
Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data
por: Bourgeais, Victoria, et al.
Publicado: (2021) -
Microbial Gene Ontology informed deep neural network for microbe functionality discovery in human diseases
por: Liu, Yunjie, et al.
Publicado: (2023) -
The Neural/Immune Gene Ontology: clipping the Gene Ontology for neurological and immunological systems
por: Geifman, Nophar, et al.
Publicado: (2010) -
Supervised and Unsupervised End-to-End Deep Learning for Gene Ontology Classification of Neural In Situ Hybridization Images †
por: Cohen, Ido, et al.
Publicado: (2019) -
Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data
por: Peng, Jiajie, et al.
Publicado: (2019)