Ngā hua rapu

1

SAGA: a subgraph matching tool for biological graphs mā Yuanyuan Tian, Richard C. McEachin, Carlos Santos, David J. States, Jignesh M. Patel

I whakaputaina 2006

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
2

Manual curation is not sufficient for annotation of genomic databases mā William A. Baumgartner, Kevin Bretonnel Cohen, Lynne M. Fox, George K. Acquaah-Mensah, Lawrence Hunter

I whakaputaina 2007

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
3

A graph-based recovery and decomposition of Swanson’s hypothesis using semantic predications mā Delroy Cameron, Olivier Bodenreider, Hima Bindu Yalamanchili, Tu Thien Danh, Sreeram Vallabhaneni, Krishnaprasad Thirunarayan, Amit Sheth, Thomas C. Rindflesch

I whakaputaina 2012

Whiwhi kuputuhi katoa
Artigo

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I tiakina i:
4

Neuro-symbolic representation learning on biological knowledge graphs mā Mona Alshahrani, Asif M. Khan, Omar Maddouri, Akira R. Kinjo, Núria Queralt-Rosiñach, Robert Hoehndorf

I whakaputaina 2017

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
5

Semantic Health Knowledge Graph: Semantic Integration of Heterogeneous Medical Knowledge and Services mā Longxiang Shi, Shijian Li, Xiaoran Yang, Jiaheng Qi, Gang Pan, Binbin Zhou

I whakaputaina 2017

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
6

GrEDeL: A Knowledge Graph Embedding Based Method for Drug Discovery From Biomedical Literatures mā Shengtian Sang, Zhihao Yang, Xiaoxia Liu, Lei Wang, Hongfei Lin, Jian Wang, Michel Dumontier

I whakaputaina 2018

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

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I tiakina i:
7

A Literature-Based Knowledge Graph Embedding Method for Identifying Drug Repurposing Opportunities in Rare Diseases mā Daniel N. Sosa, Alexander Derry, Margaret Guo, Eric Wei, Connor Brinton, Russ B. Altman

I whakaputaina 2019

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Pré-impressão

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I tiakina i:
8

ROBOKOP: an abstraction layer and user interface for knowledge graphs to support question answering mā Kenneth D. Morton, Patrick Wang, Chris Bizon, Steven J. Cox, James P. Balhoff, Yaphet Kebede, Karamarie Fecho, Alexander Tropsha

I whakaputaina 2019

Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
9

A Literature-Based Knowledge Graph Embedding Method for Identifying Drug Repurposing Opportunities in Rare Diseases mā Daniel N. Sosa, Alexander Derry, Margaret Guo, Eric Wei, Connor Brinton, Russ B. Altman

I whakaputaina 2019

Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
10

Knowledge-Based Biomedical Data Science mā Tiffany J Callahan, Ignacio J. Tripodi, Harrison Pielke-Lombardo, Lawrence Hunter

I whakaputaina 2020

Whiwhi kuputuhi katoa
Artigo

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I tiakina i:
11

Constructing knowledge graphs and their biomedical applications mā David N. Nicholson, Casey S. Greene

I whakaputaina 2020

Whiwhi kuputuhi katoa
Revisão

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I tiakina i:
12

HKGB: An Inclusive, Extensible, Intelligent, Semi-auto-constructed Knowledge Graph Framework for Healthcare with Clinicians’ Expertise Incorporated mā Yong Zhang, Ming Sheng, Rui Zhou, Ye Wang, Guangjie Han, Han Zhang, Chunxiao Xing, Jing Dong

I whakaputaina 2020

Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
13

Building a PubMed knowledge graph mā Jian Xu, Sunkyu Kim, Min Song, Minbyul Jeong, Donghyeon Kim, Jaewoo Kang, Justin F. Rousseau, Xin Li, Weijia Xu, Vetle I. Torvik, Yi Bu, Chongyan Chen, Islam Akef Ebeid, Daifeng Li, Ying Ding

I whakaputaina 2020

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

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I tiakina i:
14

Diagnosis Method of Thyroid Disease Combining Knowledge Graph and Deep Learning mā Xuqing Chai

I whakaputaina 2020

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
15

Representing COVID-19 information in collaborative knowledge graphs: a study of Wikidata mā Houcemeddine Turki, Mohamed Ali Hadj Taieb, Thomas Shafee, Tiago Lubiana, Dariusz Jemielniak, Mohamed Ben Aouicha, José Emilio Labra Gayo, Mus’ab Banat, Diptanshu Das, Daniel Mietchen

I whakaputaina 2021

Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
16

COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology mā Daniel Domingo‐Fernándéz, Shounak Baksi, Bruce Schultz, Yojana Gadiya, Reagon Karki, Tamara Raschka, Christian Ebeling, Martin Hofmann‐Apitius, Alpha Tom Kodamullil

I whakaputaina 2020

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

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I tiakina i:
17

An integrative knowledge graph for rare diseases, derived from the Genetic and Rare Diseases Information Center (GARD) mā Qian Zhu, Ðắc-Trung Nguyễn, Ivan Grishagin, Noel Southall, Eric Sid, Anne Pariser

I whakaputaina 2020

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
18

Biomedical Event Extraction with Hierarchical Knowledge Graphs mā Kung-Hsiang Huang, Mu Yang, Nanyun Peng

I whakaputaina 2020

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
19

OWL2Vec*: embedding of OWL ontologies mā Jiaoyan Chen, Pan Hu, Ernesto Jiménez-Ruiz, Ole Magnus Holter, Denvar Antonyrajah, Ian Horrocks

I whakaputaina 2021

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:
20

Multimodal reasoning based on knowledge graph embedding for specific diseases mā Chaoyu Zhu, Zhihao Yang, Xiaoqiong Xia, Nan Li, Fan Zhong, Lei Liu

I whakaputaina 2022

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

Tiaki ki tētahi rārangi

I tiakina i:

Ngā hua rapu

SAGA: a subgraph matching tool for biological graphs mā Yuanyuan Tian, Richard C. McEachin, Carlos Santos, David J. States, Jignesh M. Patel

Manual curation is not sufficient for annotation of genomic databases mā William A. Baumgartner, Kevin Bretonnel Cohen, Lynne M. Fox, George K. Acquaah-Mensah, Lawrence Hunter

A graph-based recovery and decomposition of Swanson’s hypothesis using semantic predications mā Delroy Cameron, Olivier Bodenreider, Hima Bindu Yalamanchili, Tu Thien Danh, Sreeram Vallabhaneni, Krishnaprasad Thirunarayan, Amit Sheth, Thomas C. Rindflesch

Neuro-symbolic representation learning on biological knowledge graphs mā Mona Alshahrani, Asif M. Khan, Omar Maddouri, Akira R. Kinjo, Núria Queralt-Rosiñach, Robert Hoehndorf

Semantic Health Knowledge Graph: Semantic Integration of Heterogeneous Medical Knowledge and Services mā Longxiang Shi, Shijian Li, Xiaoran Yang, Jiaheng Qi, Gang Pan, Binbin Zhou

GrEDeL: A Knowledge Graph Embedding Based Method for Drug Discovery From Biomedical Literatures mā Shengtian Sang, Zhihao Yang, Xiaoxia Liu, Lei Wang, Hongfei Lin, Jian Wang, Michel Dumontier

A Literature-Based Knowledge Graph Embedding Method for Identifying Drug Repurposing Opportunities in Rare Diseases mā Daniel N. Sosa, Alexander Derry, Margaret Guo, Eric Wei, Connor Brinton, Russ B. Altman

ROBOKOP: an abstraction layer and user interface for knowledge graphs to support question answering mā Kenneth D. Morton, Patrick Wang, Chris Bizon, Steven J. Cox, James P. Balhoff, Yaphet Kebede, Karamarie Fecho, Alexander Tropsha

A Literature-Based Knowledge Graph Embedding Method for Identifying Drug Repurposing Opportunities in Rare Diseases mā Daniel N. Sosa, Alexander Derry, Margaret Guo, Eric Wei, Connor Brinton, Russ B. Altman

Knowledge-Based Biomedical Data Science mā Tiffany J Callahan, Ignacio J. Tripodi, Harrison Pielke-Lombardo, Lawrence Hunter

Constructing knowledge graphs and their biomedical applications mā David N. Nicholson, Casey S. Greene

HKGB: An Inclusive, Extensible, Intelligent, Semi-auto-constructed Knowledge Graph Framework for Healthcare with Clinicians’ Expertise Incorporated mā Yong Zhang, Ming Sheng, Rui Zhou, Ye Wang, Guangjie Han, Han Zhang, Chunxiao Xing, Jing Dong

Building a PubMed knowledge graph mā Jian Xu, Sunkyu Kim, Min Song, Minbyul Jeong, Donghyeon Kim, Jaewoo Kang, Justin F. Rousseau, Xin Li, Weijia Xu, Vetle I. Torvik, Yi Bu, Chongyan Chen, Islam Akef Ebeid, Daifeng Li, Ying Ding

Diagnosis Method of Thyroid Disease Combining Knowledge Graph and Deep Learning mā Xuqing Chai

Representing COVID-19 information in collaborative knowledge graphs: a study of Wikidata mā Houcemeddine Turki, Mohamed Ali Hadj Taieb, Thomas Shafee, Tiago Lubiana, Dariusz Jemielniak, Mohamed Ben Aouicha, José Emilio Labra Gayo, Mus’ab Banat, Diptanshu Das, Daniel Mietchen

COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology mā Daniel Domingo‐Fernándéz, Shounak Baksi, Bruce Schultz, Yojana Gadiya, Reagon Karki, Tamara Raschka, Christian Ebeling, Martin Hofmann‐Apitius, Alpha Tom Kodamullil

An integrative knowledge graph for rare diseases, derived from the Genetic and Rare Diseases Information Center (GARD) mā Qian Zhu, Ðắc-Trung Nguyễn, Ivan Grishagin, Noel Southall, Eric Sid, Anne Pariser

Biomedical Event Extraction with Hierarchical Knowledge Graphs mā Kung-Hsiang Huang, Mu Yang, Nanyun Peng

OWL2Vec*: embedding of OWL ontologies mā Jiaoyan Chen, Pan Hu, Ernesto Jiménez-Ruiz, Ole Magnus Holter, Denvar Antonyrajah, Ian Horrocks

Multimodal reasoning based on knowledge graph embedding for specific diseases mā Chaoyu Zhu, Zhihao Yang, Xiaoqiong Xia, Nan Li, Fan Zhong, Lei Liu

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