Long non-coding RNAs (lncRNAs) in spermatogenesis and male infertility
M Joshi, S Rajender - Reproductive Biology and Endocrinology, 2020 - Springer
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 …
microRNAs: critical players during helminth infections
M Rojas-Pirela, D Andrade-Alviárez, W Quiñones… - Microorganisms, 2022 - mdpi.com
microRNAs (miRNAs) are a group of small non-coding RNAs that regulate gene expression
post-transcriptionally through their interaction with the 3′ untranslated regions (3′ UTR) of …
post-transcriptionally through their interaction with the 3′ untranslated regions (3′ UTR) of …