Deep-belief network for predicting potential miRNA-disease associations
MicroRNA (miRNA) plays an important role in the occurrence, development, diagnosis and
treatment of diseases. More and more researchers begin to pay attention to the relationship …
treatment of diseases. More and more researchers begin to pay attention to the relationship …
gutMDisorder: a comprehensive database for dysbiosis of the gut microbiota in disorders and interventions
L Cheng, C Qi, H Zhuang, T Fu… - Nucleic acids research, 2020 - academic.oup.com
Abstract gutMDisorder (http://bio-annotation. cn/gutMDisorder), a manually curated
database, aims at providing a comprehensive resource of dysbiosis of the gut microbiota in …
database, aims at providing a comprehensive resource of dysbiosis of the gut microbiota in …
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 …
A novel circRNA-miRNA association prediction model based on structural deep neural network embedding
A large amount of clinical evidence began to mount, showing that circular ribonucleic acids
(RNAs; circRNAs) perform a very important function in complex diseases by participating in …
(RNAs; circRNAs) perform a very important function in complex diseases by participating in …
Predicting miRNA-disease associations via node-level attention graph auto-encoder
Previous studies have confirmed microRNA (miRNA), small single-stranded non-coding
RNA, participates in various biological processes and plays vital roles in many complex …
RNA, participates in various biological processes and plays vital roles in many complex …
PWCDA: path weighted method for predicting circRNA-disease associations
CircRNAs have particular biological structure and have proven to play important roles in
diseases. It is time-consuming and costly to identify circRNA-disease associations by …
diseases. It is time-consuming and costly to identify circRNA-disease associations by …
Prediction models based on miRNA-disease relationship: Diagnostic relevance to multiple diseases including COVID-19
Background: Small, non-coding microRNAs, usually of 20-25 nucleotides, are known to
regulate the post-transcriptional gene expression, which has a significant role in human …
regulate the post-transcriptional gene expression, which has a significant role in human …
MCLPMDA: A novel method for mi RNA‐disease association prediction based on matrix completion and label propagation
SP Yu, C Liang, Q **ao, GH Li… - Journal of cellular and …, 2019 - Wiley Online Library
Mi RNA s are a class of small non‐coding RNA s that are involved in the development and
progression of various complex diseases. Great efforts have been made to discover …
progression of various complex diseases. Great efforts have been made to discover …
Benchmark of computational methods for predicting microRNA-disease associations
Background A series of miRNA-disease association prediction methods have been
proposed to prioritize potential disease-associated miRNAs. Independent benchmarking of …
proposed to prioritize potential disease-associated miRNAs. Independent benchmarking of …
CFNCM: collaborative filtering neighborhood-based model for predicting miRNA-disease associations
MicroRNAs have a significant role in the emergence of various human disorders.
Consequently, it is essential to understand the existing interactions between miRNAs and …
Consequently, it is essential to understand the existing interactions between miRNAs and …