Graph neural networks and their current applications in bioinformatics
XM Zhang, L Liang, L Liu, MJ Tang - Frontiers in genetics, 2021 - frontiersin.org
Graph neural networks (GNNs), as a branch of deep learning in non-Euclidean space,
perform particularly well in various tasks that process graph structure data. With the rapid …
perform particularly well in various tasks that process graph structure data. With the rapid …
Predicting human microbe–disease associations via graph attention networks with inductive matrix completion
Motivation human microbes play a critical role in an extensive range of complex human
diseases and become a new target in precision medicine. In silico methods of identifying …
diseases and become a new target in precision medicine. In silico methods of identifying …
[HTML][HTML] Databases and computational methods for the identification of piRNA-related molecules: A survey
C Guo, X Wang, H Ren - Computational and Structural Biotechnology …, 2024 - Elsevier
Piwi-interacting RNAs (piRNAs) are a class of small non-coding RNAs (ncRNAs) that play
important roles in many biological processes and major cancer diagnosis and treatment …
important roles in many biological processes and major cancer diagnosis and treatment …
DLDTI: a learning-based framework for drug-target interaction identification using neural networks and network representation
Background Drug repositioning, the strategy of unveiling novel targets of existing drugs
could reduce costs and accelerate the pace of drug development. To elucidate the novel …
could reduce costs and accelerate the pace of drug development. To elucidate the novel …
[HTML][HTML] Identification of piRNA disease associations using deep learning
Piwi-interacting RNAs (piRNAs) play a pivotal role in maintaining genome integrity by
repression of transposable elements, gene stability, and association with various disease …
repression of transposable elements, gene stability, and association with various disease …
PDA-PRGCN: identification of Piwi-interacting RNA-disease associations through subgraph projection and residual scaling-based feature augmentation
Background Emerging evidences show that Piwi-interacting RNAs (piRNAs) play a pivotal
role in numerous complex human diseases. Identifying potential piRNA-disease …
role in numerous complex human diseases. Identifying potential piRNA-disease …
A decision support system based on multi-sources information to predict piRNA–disease associations using stacked autoencoder
Despite experimental efforts to map out the human interactome, the continued high data
complexity, heterogeneity, and combined explosion limit our ability to understand the …
complexity, heterogeneity, and combined explosion limit our ability to understand the …
MRDPDA: A multi‐Laplacian regularized deepFM model for predicting piRNA‐disease associations
Y Liu, F Zhang, Y Ding, R Fei, J Li… - Journal of Cellular and …, 2024 - Wiley Online Library
PIWI‐interacting RNAs (piRNAs) are a typical class of small non‐coding RNAs, which are
essential for gene regulation, genome stability and so on. Accumulating studies have …
essential for gene regulation, genome stability and so on. Accumulating studies have …
AI-based Computational Methods in Early Drug Discovery and Post Market Drug Assessment: A Survey
F Rajaei, C Minoccheri, E Wittrup… - IEEE/ACM …, 2024 - ieeexplore.ieee.org
Over the past few years, artificial intelligence (AI) has emerged as a transformative force in
drug discovery and development (DDD), revolutionizing many aspects of the process. This …
drug discovery and development (DDD), revolutionizing many aspects of the process. This …
piRNA-disease association prediction based on multi-channel graph variational autoencoder
W Sun, C Guo, J Wan, H Ren - PeerJ Computer Science, 2024 - peerj.com
Piwi-interacting RNA (piRNA) is a type of non-coding small RNA that is highly expressed in
mammalian testis. PiRNA has been implicated in various human diseases, but the …
mammalian testis. PiRNA has been implicated in various human diseases, but the …