GlycoPOST realizes FAIR principles for glycomics mass spectrometry data
Y Watanabe, KF Aoki-Kinoshita… - Nucleic acids …, 2021 - academic.oup.com
For the reproducibility and sustainability of scientific research, FAIRness (Findable,
Accessible, Interoperable and Re-usable), with respect to the release of raw data obtained …
Accessible, Interoperable and Re-usable), with respect to the release of raw data obtained …
A biomedical knowledge graph-based method for drug–drug interactions prediction through combining local and global features with deep neural networks
Drug–drug interactions (DDIs) prediction is a challenging task in drug development and
clinical application. Due to the extremely large complete set of all possible DDIs, computer …
clinical application. Due to the extremely large complete set of all possible DDIs, computer …
How to hackathon: Socio-technical tradeoffs in brief, intensive collocation
EH Trainer, A Kalyanasundaram… - proceedings of the 19th …, 2016 - dl.acm.org
Hackathons are events where people who are not normally collocated converge for a few
days to write code together. Hackathons, it seems, are everywhere. We know that long-term …
days to write code together. Hackathons, it seems, are everywhere. We know that long-term …
Neuro-symbolic representation learning on biological knowledge graphs
Motivation Biological data and knowledge bases increasingly rely on Semantic Web
technologies and the use of knowledge graphs for data integration, retrieval and federated …
technologies and the use of knowledge graphs for data integration, retrieval and federated …
Bioinformatics mining and modeling methods for the identification of disease mechanisms in neurodegenerative disorders
M Hofmann-Apitius, G Ball, S Gebel… - International journal of …, 2015 - mdpi.com
Since the decoding of the Human Genome, techniques from bioinformatics, statistics, and
machine learning have been instrumental in uncovering patterns in increasing amounts and …
machine learning have been instrumental in uncovering patterns in increasing amounts and …
Data science and symbolic AI: Synergies, challenges and opportunities
R Hoehndorf, N Queralt-Rosinach - Data Science, 2017 - content.iospress.com
Abstract Symbolic approaches to Artificial Intelligence (AI) represent things within a domain
of knowledge through physical symbols, combine symbols into symbol expressions, and …
of knowledge through physical symbols, combine symbols into symbol expressions, and …
Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settings
Background Current approaches to identifying drug-drug interactions (DDIs), include safety
studies during drug development and post-marketing surveillance after approval, offer …
studies during drug development and post-marketing surveillance after approval, offer …
BioDKG–DDI: predicting drug–drug interactions based on drug knowledge graph fusing biochemical information
The way of co-administration of drugs is a sensible strategy for treating complex diseases
efficiently. Because of existing massive unknown interactions among drugs, predicting …
efficiently. Because of existing massive unknown interactions among drugs, predicting …
DNA data bank of Japan
J Mashima, Y Kodama, T Fujisawa… - Nucleic acids …, 2016 - academic.oup.com
Abstract The DNA Data Bank of Japan (DDBJ)(http://www. ddbj. nig. ac. jp) has been
providing public data services for thirty years (since 1987). We are collecting nucleotide …
providing public data services for thirty years (since 1987). We are collecting nucleotide …
DNA data bank of Japan (DDBJ) progress report
J Mashima, Y Kodama, T Kosuge… - Nucleic acids …, 2016 - academic.oup.com
Abstract The DNA Data Bank of Japan Center (DDBJ Center; http://www. ddbj. nig. ac. jp)
maintains and provides public archival, retrieval and analytical services for biological …
maintains and provides public archival, retrieval and analytical services for biological …