Neuro-symbolic representation learning on biological knowledge graphs.
about
DeepGO: Predicting protein functions from sequence and interactions using a deep ontology-aware classifier.Inferring ontology graph structures using OWL reasoning.Onto2Vec: joint vector-based representation of biological entities and their ontology-based annotations.Semantic Disease Gene Embeddings (SmuDGE): phenotype-based disease gene prioritization without phenotypesUsing predicate and provenance information from a knowledge graph for drug efficacy screening
P2860
Neuro-symbolic representation learning on biological knowledge graphs.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
2017年论文
@zh
2017年论文
@zh-cn
name
Neuro-symbolic representation learning on biological knowledge graphs.
@en
type
label
Neuro-symbolic representation learning on biological knowledge graphs.
@en
altLabel
Neuro-symbolic representation learning on biological knowledge graphs
@en
prefLabel
Neuro-symbolic representation learning on biological knowledge graphs.
@en
P2093
P2860
P356
P1433
P1476
Neuro-symbolic representation learning on biological knowledge graphs.
@en
P2093
Akira R Kinjo
Mohammad Asif Khan
Núria Queralt-Rosinach
Omar Maddouri
P2860
P304
P356
10.1093/BIOINFORMATICS/BTX275
P407
P577
2017-09-01T00:00:00Z
P698
P818
1612.04256