Large-scale extraction of accurate drug-disease treatment pairs from biomedical literature for drug repurposing

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2105

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Large-scale extraction of accurate drug-disease treatment pairs from biomedical literature for drug repurposing ; volume:14 ; number:1 ; day:6 ; month:6 ; year:2013 ; pages:1-11 ; date:12.2013
BMC bioinformatics ; 14, Heft 1 (6.6.2013), 1-11, 12.2013

Creator: Xu, Rong

Contributor: Wang, QuanQiu
SpringerLink (Online service)

DOI: 10.1186/1471-2105-14-181

URN: urn:nbn:de:1111-2016021741228

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:28 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Xu, Rong
Wang, QuanQiu
SpringerLink (Online service)

Other Objects (12)

Large-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection

A genomics-based systems approach towards drug repositioning for rheumatoid arthritis

Phenome-based gene discovery provides information about Parkinson’s disease drug targets

Large-scale mining disease comorbidity relationships from post-market drug adverse events surveillance data

dRiskKB: a large-scale disease-disease risk relationship knowledge base constructed from biomedical text

Data-driven multiple-level analysis of gut-microbiome-immune-joint interactions in rheumatoid arthritis

Towards understanding brain-gut-microbiome connections in Alzheimer’s disease

Context-sensitive network analysis identifies food metabolites associated with Alzheimer’s disease: an exploratory study

Mining comorbidities of opioid use disorder from FDA adverse event reporting system and patient electronic health records

The horizontal-to-vertical spectral ratio and its applications

Aufsatzsammlung

Drug repurposing

Predict Alzheimer’s disease using hippocampus MRI data: a lightweight 3D deep convolutional network model with visual and global shape representations

Large-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection

A genomics-based systems approach towards drug repositioning for rheumatoid arthritis

Phenome-based gene discovery provides information about Parkinson’s disease drug targets

Large-scale mining disease comorbidity relationships from post-market drug adverse events surveillance data

dRiskKB: a large-scale disease-disease risk relationship knowledge base constructed from biomedical text

Data-driven multiple-level analysis of gut-microbiome-immune-joint interactions in rheumatoid arthritis

Towards understanding brain-gut-microbiome connections in Alzheimer’s disease

Context-sensitive network analysis identifies food metabolites associated with Alzheimer’s disease: an exploratory study

Mining comorbidities of opioid use disorder from FDA adverse event reporting system and patient electronic health records

The horizontal-to-vertical spectral ratio and its applications

Aufsatzsammlung

Drug repurposing

Predict Alzheimer’s disease using hippocampus MRI data: a lightweight 3D deep convolutional network model with visual and global shape representations

Large-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection

A genomics-based systems approach towards drug repositioning for rheumatoid arthritis

Phenome-based gene discovery provides information about Parkinson’s disease drug targets

Large-scale mining disease comorbidity relationships from post-market drug adverse events surveillance data

dRiskKB: a large-scale disease-disease risk relationship knowledge base constructed from biomedical text

Data-driven multiple-level analysis of gut-microbiome-immune-joint interactions in rheumatoid arthritis

Towards understanding brain-gut-microbiome connections in Alzheimer’s disease

Context-sensitive network analysis identifies food metabolites associated with Alzheimer’s disease: an exploratory study

Mining comorbidities of opioid use disorder from FDA adverse event reporting system and patient electronic health records

The horizontal-to-vertical spectral ratio and its applications

Aufsatzsammlung

Drug repurposing

Predict Alzheimer’s disease using hippocampus MRI data: a lightweight 3D deep convolutional network model with visual and global shape representations

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Large-scale extraction of accurate drug-disease treatment pairs from biomedical literature for drug repurposing

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Large-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection

A genomics-based systems approach towards drug repositioning for rheumatoid arthritis

Phenome-based gene discovery provides information about Parkinson’s disease drug targets

Large-scale mining disease comorbidity relationships from post-market drug adverse events surveillance data

dRiskKB: a large-scale disease-disease risk relationship knowledge base constructed from biomedical text

Data-driven multiple-level analysis of gut-microbiome-immune-joint interactions in rheumatoid arthritis

Towards understanding brain-gut-microbiome connections in Alzheimer’s disease

Context-sensitive network analysis identifies food metabolites associated with Alzheimer’s disease: an exploratory study

Mining comorbidities of opioid use disorder from FDA adverse event reporting system and patient electronic health records

The horizontal-to-vertical spectral ratio and its applications

Drug repurposing

Predict Alzheimer’s disease using hippocampus MRI data: a lightweight 3D deep convolutional network model with visual and global shape representations

Large-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection

A genomics-based systems approach towards drug repositioning for rheumatoid arthritis

Phenome-based gene discovery provides information about Parkinson’s disease drug targets

Large-scale mining disease comorbidity relationships from post-market drug adverse events surveillance data

dRiskKB: a large-scale disease-disease risk relationship knowledge base constructed from biomedical text

Data-driven multiple-level analysis of gut-microbiome-immune-joint interactions in rheumatoid arthritis

Towards understanding brain-gut-microbiome connections in Alzheimer’s disease

Context-sensitive network analysis identifies food metabolites associated with Alzheimer’s disease: an exploratory study

Mining comorbidities of opioid use disorder from FDA adverse event reporting system and patient electronic health records

The horizontal-to-vertical spectral ratio and its applications

Drug repurposing

Predict Alzheimer’s disease using hippocampus MRI data: a lightweight 3D deep convolutional network model with visual and global shape representations

Large-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection

A genomics-based systems approach towards drug repositioning for rheumatoid arthritis

Phenome-based gene discovery provides information about Parkinson’s disease drug targets

Large-scale mining disease comorbidity relationships from post-market drug adverse events surveillance data

dRiskKB: a large-scale disease-disease risk relationship knowledge base constructed from biomedical text

Data-driven multiple-level analysis of gut-microbiome-immune-joint interactions in rheumatoid arthritis

Towards understanding brain-gut-microbiome connections in Alzheimer’s disease

Context-sensitive network analysis identifies food metabolites associated with Alzheimer’s disease: an exploratory study

Mining comorbidities of opioid use disorder from FDA adverse event reporting system and patient electronic health records

The horizontal-to-vertical spectral ratio and its applications

Drug repurposing

Predict Alzheimer’s disease using hippocampus MRI data: a lightweight 3D deep convolutional network model with visual and global shape representations

Related objects

Reset password