Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Hyunwhan Joe"'
Autor:
Hyunwhan Joe, Hong-Gee Kim
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-15 (2024)
Abstract Background Metabolic pathway prediction is one possible approach to address the problem in system biology of reconstructing an organism’s metabolic network from its genome sequence. Recently there have been developments in machine learning
Externí odkaz:
https://doaj.org/article/053bec36905745f6946f4a92c67377b4
Publikováno v:
Journal of Cheminformatics, Vol 11, Iss 1, Pp 1-16 (2019)
Abstract Analysis of compound–protein interactions (CPIs) has become a crucial prerequisite for drug discovery and drug repositioning. In vitro experiments are commonly used in identifying CPIs, but it is not feasible to discover the molecular and
Externí odkaz:
https://doaj.org/article/5918a419c0d742fe8da8eb821a2da4bd
Gene-centric multi-omics integration with convolutional encoders for cancer drug response prediction
Publikováno v:
Computers in Biology and Medicine. 151:106192
Tumor heterogeneity, including genetic and transcriptomic characteristics, can reduce the efficacy of anticancer pharmacological therapy, resulting in clinical variability in patient response to therapeutic medications. Multi-omics integration can al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::003c1b7bace741fd1b39464f3d236345
https://doi.org/10.1016/j.compbiomed.2022.106192
https://doi.org/10.1016/j.compbiomed.2022.106192
Publikováno v:
Journal of Cheminformatics, Vol 11, Iss 1, Pp 1-16 (2019)
Journal of Cheminformatics
Journal of Cheminformatics
Analysis of compound–protein interactions (CPIs) has become a crucial prerequisite for drug discovery and drug repositioning. In vitro experiments are commonly used in identifying CPIs, but it is not feasible to discover the molecular and proteomic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43bbb7ae3b9bc42560d48547433b06d1
http://link.springer.com/article/10.1186/s13321-019-0368-1
http://link.springer.com/article/10.1186/s13321-019-0368-1
Publikováno v:
Journal of computational biology : a journal of computational molecular cell biology. 28(6)
Biomedical Entity Explorer (BEE) is a web server that can search for biomedical entities from a database of six biomedical entity types (gene, miRNA, drug, disease, single nucleotide polymorphism [SNP], pathway) and their gene associations. The searc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12e461b76ab6b53db7993425a4090dcc
https://pubmed.ncbi.nlm.nih.gov/34081565
https://pubmed.ncbi.nlm.nih.gov/34081565
Recently there has been a trend in bioinformatics to produce and manage large quantities of data to better explain complex life phenomena through relationship and interactions among biomedical entities. This increase in data leads to a need for more
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5914ee5bb5fe2e99b46120a56d699b38
https://doi.org/10.1101/2020.01.03.893594
https://doi.org/10.1101/2020.01.03.893594
Publikováno v:
Semantic Technology ISBN: 9783030414061
JIST
JIST
In vivo experiments have had a great impact on the development of biomedicine, and as a result, a variety of biomedical data is produced and provided to researchers. Standardization and ontology design were carried out for the systematic management a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39dc93bfa8f9667cebe913117a0a7d17
https://doi.org/10.1007/978-3-030-41407-8_16
https://doi.org/10.1007/978-3-030-41407-8_16
Autor:
Kwangyoun Kim, Changwoo Han, Hong-Gee Kim, Hyeontaek Lim, Hyunwhan Joe, Kyungmin Lee, Sungsoo Kim
Publikováno v:
Computer Speech & Language. 70:101228
Capsule networks (CapsNets) have recently gotten attention as a novel neural architecture. This paper presents the sequential routing framework which we believe is the first method to adapt a CapsNet-only structure to sequence-to-sequence recognition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c93aea078f0c620aba4956ce13702c5f
https://doi.org/10.1016/j.csl.2021.101228
https://doi.org/10.1016/j.csl.2021.101228
Publikováno v:
Knowledge-Based Systems. 76:30-41
With the profusion of RDF resources and Linked Data, ontology alignment has gained significance in providing highly comprehensive knowledge embedded in disparate sources. Ontology alignment, however, in Linking Open Data (LOD) has traditionally focus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5758f166714088a99120729916b40e81
https://doi.org/10.1016/j.knosys.2014.11.022
https://doi.org/10.1016/j.knosys.2014.11.022