Long non-coding RNAs (lncRNAs) in spermatogenesis and male infertility
Abstract Background Long non-coding RNAs (lncRNAs) have a size of more than 200 bp
and are known to regulate a host of crucial cellular processes like proliferation …
and are known to regulate a host of crucial cellular processes like proliferation …
Knowledge graphs and their applications in drug discovery
F MacLean - Expert opinion on drug discovery, 2021 - Taylor & Francis
Introduction Knowledge graphs have proven to be promising systems of information storage
and retrieval. Due to the recent explosion of heterogeneous multimodal data sources …
and retrieval. Due to the recent explosion of heterogeneous multimodal data sources …
A graph auto-encoder model for miRNA-disease associations prediction
Emerging evidence indicates that the abnormal expression of miRNAs involves in the
evolution and progression of various human complex diseases. Identifying disease-related …
evolution and progression of various human complex diseases. Identifying disease-related …
MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph
Accurate identification of the miRNA-disease associations (MDAs) helps to understand the
etiology and mechanisms of various diseases. However, the experimental methods are …
etiology and mechanisms of various diseases. However, the experimental methods are …
Predicting miRNA-disease associations based on multi-view variational graph auto-encoder with matrix factorization
MicroRNAs (miRNAs) have been proved to play critical roles in diverse biological
processes, including the human disease development process. Exploring the potential …
processes, including the human disease development process. Exploring the potential …
Predicting miRNA-disease associations using an ensemble learning framework with resampling method
Q Dai, Z Wang, Z Liu, X Duan, J Song… - Briefings in …, 2022 - academic.oup.com
Motivation: Accumulating evidences have indicated that microRNA (miRNA) plays a crucial
role in the pathogenesis and progression of various complex diseases. Inferring disease …
role in the pathogenesis and progression of various complex diseases. Inferring disease …
Predicting miRNA-disease associations based on lncRNA–miRNA interactions and graph convolution networks
W Wang, H Chen - Briefings in Bioinformatics, 2023 - academic.oup.com
Increasing studies have proved that microRNAs (miRNAs) are critical biomarkers in the
development of human complex diseases. Identifying disease-related miRNAs is beneficial …
development of human complex diseases. Identifying disease-related miRNAs is beneficial …
PDMDA: predicting deep-level miRNA–disease associations with graph neural networks and sequence features
Motivation Many studies have shown that microRNAs (miRNAs) play a key role in human
diseases. Meanwhile, traditional experimental methods for miRNA–disease association …
diseases. Meanwhile, traditional experimental methods for miRNA–disease association …
Predicting miRNA-disease associations based on graph attention networks and dual Laplacian regularized least squares
W Wang, H Chen - Briefings in Bioinformatics, 2022 - academic.oup.com
Increasing biomedical evidence has proved that the dysregulation of miRNAs is associated
with human complex diseases. Identification of disease-related miRNAs is of great …
with human complex diseases. Identification of disease-related miRNAs is of great …
Incorporating higher order network structures to improve miRNA–disease association prediction based on functional modularity
As microRNAs (miRNAs) are involved in many essential biological processes, their
abnormal expressions can serve as biomarkers and prognostic indicators to prevent the …
abnormal expressions can serve as biomarkers and prognostic indicators to prevent the …