Overview of methods for characterization and visualization of a protein–protein interaction network in a multi-omics integration context
V Robin, A Bodein, MP Scott-Boyer… - Frontiers in Molecular …, 2022 - frontiersin.org
At the heart of the cellular machinery through the regulation of cellular functions, protein–
protein interactions (PPIs) have a significant role. PPIs can be analyzed with network …
protein interactions (PPIs) have a significant role. PPIs can be analyzed with network …
A many‐objective optimization‐based local tensor factorization model for skin cancer detection
H Zhao, J Wen, J Yang, X Cai… - … and Computation: Practice …, 2024 - Wiley Online Library
Exploring the associations between microRNAs (miRNAs) and diseases can identify
potential disease features. Prediction of miRNA‐skin cancer associations has become an …
potential disease features. Prediction of miRNA‐skin cancer associations has become an …
Improving miRNA disease association prediction accuracy using integrated similarity information and deep autoencoders
MicroRNAs (miRNAs) are short endogenous non-encoding RNA molecules (22nt) that have
a vital role in many biological and molecular processes inside the human body. Abnormal …
a vital role in many biological and molecular processes inside the human body. Abnormal …
[PDF][PDF] iCluF: an unsupervised iterative cluster-fusion method for patient stratification using multiomics data
Motivation Patient stratification is crucial for the effective treatment or management of
heterogeneous diseases, including cancers. Multiomic technologies facilitate molecular …
heterogeneous diseases, including cancers. Multiomic technologies facilitate molecular …
[HTML][HTML] CFMKGATDDA: A new collaborative filtering and multiple kernel graph attention network-based method for predicting drug-disease associations
DH Vu, TKP Pham, TH Dang - Intelligence-Based Medicine, 2025 - Elsevier
Drug-disease association prediction is increasingly recognized as crucial for a
comprehensive understanding of the functions and mechanisms of drugs. However, the …
comprehensive understanding of the functions and mechanisms of drugs. However, the …
AE-RW: Predicting miRNA-disease associations by using autoencoder and random walk on miRNA-gene-disease heterogeneous network
P Lu, J Jiang - Computational Biology and Chemistry, 2024 - Elsevier
Since scientific investigations have demonstrated that aberrant expression of miRNAs brings
about the incidence of numerous intricate diseases, precise determination of miRNA …
about the incidence of numerous intricate diseases, precise determination of miRNA …
Drug-Disease Association Prediction Through Multiple Integrated Similarities and Deep Learning
TT Van Thai, TTH Duong, DH Tran - 2023 15th International …, 2023 - ieeexplore.ieee.org
The new drugs' development is a time-consuming, laborious, and costly process.
Consequently, the need for computational methods to predict drug-disease associations has …
Consequently, the need for computational methods to predict drug-disease associations has …
A survey on computational methods for investigation on ncRNA-disease association through the mode of action perspective
Molecular and sequencing technologies have been successfully used in decoding
biological mechanisms of various diseases. As revealed by many novel discoveries, the role …
biological mechanisms of various diseases. As revealed by many novel discoveries, the role …
Predicting Drug-Disease Associations Based on Integrated Similarities and Weighted Bi-level Network
VT Nguyen, H Vu Duc, Y Vu Minh… - … on Advances in …, 2023 - Springer
It is a time-consuming, laborious, and costly process to develop new drugs. Consequently,
develo** computational methods for drug repositioning by predicting drug-disease …
develo** computational methods for drug repositioning by predicting drug-disease …
Inferring pseudogene–MiRNA associations based on an ensemble learning framework with similarity kernel fusion
C Fan, M Ding - Scientific Reports, 2023 - nature.com
Accumulating evidence shows that pseudogenes can function as microRNAs (miRNAs)
sponges and regulate gene expression. Mining potential interactions between pseudogenes …
sponges and regulate gene expression. Mining potential interactions between pseudogenes …