Integrative approaches for finding modular structure in biological networks
A central goal of systems biology is to elucidate the structural and functional architecture of
the cell. To this end, large and complex networks of molecular interactions are being rapidly …
the cell. To this end, large and complex networks of molecular interactions are being rapidly …
Network medicine in the age of biomedical big data
Network medicine is an emerging area of research dealing with molecular and genetic
interactions, network biomarkers of disease, and therapeutic target discovery. Large-scale …
interactions, network biomarkers of disease, and therapeutic target discovery. Large-scale …
Computational methods for identifying similar diseases
L Cheng, H Zhao, P Wang, W Zhou, M Luo, T Li… - … Therapy-Nucleic Acids, 2019 - cell.com
Although our knowledge of human diseases has increased dramatically, the molecular
basis, phenotypic traits, and therapeutic targets of most diseases still remain unclear. An …
basis, phenotypic traits, and therapeutic targets of most diseases still remain unclear. An …
SemFunSim: a new method for measuring disease similarity by integrating semantic and gene functional association
Background Measuring similarity between diseases plays an important role in disease-
related molecular function research. Functional associations between disease-related …
related molecular function research. Functional associations between disease-related …
Integrated network analysis reveals new genes suggesting COVID-19 chronic effects and treatment
The COVID-19 disease led to an unprecedented health emergency, still ongoing worldwide.
Given the lack of a vaccine or a clear therapeutic strategy to counteract the infection as well …
Given the lack of a vaccine or a clear therapeutic strategy to counteract the infection as well …
Computational approaches for prioritizing candidate disease genes based on PPI networks
With the continuing development and improvement of genome-wide techniques, a great
number of candidate genes are discovered. How to identify the most likely disease genes …
number of candidate genes are discovered. How to identify the most likely disease genes …
Biomedical data, computational methods and tools for evaluating disease–disease associations
In recent decades, exploring potential relationships between diseases has been an active
research field. With the rapid accumulation of disease-related biomedical data, a lot of …
research field. With the rapid accumulation of disease-related biomedical data, a lot of …
Constructing disease similarity networks based on disease module theory
Quantifying the associations between diseases is now playing an important role in modern
biology and medicine. Actually discovering associations between diseases could help us …
biology and medicine. Actually discovering associations between diseases could help us …
MTGNN: multi-Task Graph Neural Network based few-shot learning for disease similarity measurement
Similar diseases are usually caused by molecular origins or similar phenotypes. Confirming
the relationship between diseases can help researchers gain a deep insight of the …
the relationship between diseases can help researchers gain a deep insight of the …
Bioinformatics analysis reveals transcriptome and microRNA signatures and drug repositioning targets for IBD and other autoimmune diseases
Background Inflammatory bowel disease (IBD) is a complex disorder involving pathogen
infection, host immune response, and altered enterocyte physiology. Incidences of IBD are …
infection, host immune response, and altered enterocyte physiology. Incidences of IBD are …