Darling (v2.0): Mining disease-related databases for the detection of biomedical entity associations

Darling (v2.0): Mining disease-related databases for the detection of biomedical entity associations

Darling is a web application that employs literature mining to detect disease-related biomedical entity associations. Darling can detect sentence-based cooccurrences of biomedical entities such as genes, proteins, chemicals, functions, tissues, diseases, environments, and phenotypes from biomedical...

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Main Authors: Fotis A. Baltoumas, Evangelos Karatzas, Nefeli K. Venetsianou, Eleni Aplakidou, Konstantinos Giatras, Maria N. Chasapi, Iro N. Chasapi, Ioannis Iliopoulos, Vassiliki A. Iconomidou, Ioannis P. Trougakos, Fotis Psomopoulos, Antonis Giannakakis, Ilias Georgakopoulos-Soares, Panagiota Kontou, Pantelis G. Bagos, Georgios A. Pavlopoulos
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Named entity recognition
Text mining
Co-occurrence analysis
Literature mining
Network analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037025002405
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http://www.sciencedirect.com/science/article/pii/S2001037025002405

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