Computational models for lncRNA function prediction and functional similarity calculation
From transcriptional noise to dark matter of biology, the rapidly changing view of long non-
coding RNA (lncRNA) leads to deep understanding of human complex diseases induced by …
coding RNA (lncRNA) leads to deep understanding of human complex diseases induced by …
Data integration and predictive modeling methods for multi-omics datasets
M Kim, I Tagkopoulos - Molecular omics, 2018 - pubs.rsc.org
Translating data to knowledge and actionable insights is the Holy Grail for many scientific
fields, including biology. The unprecedented massive and heterogeneous data have created …
fields, including biology. The unprecedented massive and heterogeneous data have created …
PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction
In the recent few years, an increasing number of studies have shown that microRNAs
(miRNAs) play critical roles in many fundamental and important biological processes. As …
(miRNAs) play critical roles in many fundamental and important biological processes. As …
A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases
Motivation Accumulating clinical observations have indicated that microbes living in the
human body are closely associated with a wide range of human noninfectious diseases …
human body are closely associated with a wide range of human noninfectious diseases …
[HTML][HTML] HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction
Recently, microRNAs (miRNAs) have drawn more and more attentions because
accumulating experimental studies have indicated miRNA could play critical roles in multiple …
accumulating experimental studies have indicated miRNA could play critical roles in multiple …
[HTML][HTML] MCMDA: Matrix completion for MiRNA-disease association prediction
Nowadays, researchers have realized that microRNAs (miRNAs) are playing a significant
role in many important biological processes and they are closely connected with various …
role in many important biological processes and they are closely connected with various …
[HTML][HTML] IRWRLDA: improved random walk with restart for lncRNA-disease association prediction
In recent years, accumulating evidences have shown that the dysregulations of lncRNAs are
associated with a wide range of human diseases. It is necessary and feasible to analyze …
associated with a wide range of human diseases. It is necessary and feasible to analyze …
LSTM-PHV: prediction of human-virus protein–protein interactions by LSTM with word2vec
Viral infection involves a large number of protein–protein interactions (PPIs) between human
and virus. The PPIs range from the initial binding of viral coat proteins to host membrane …
and virus. The PPIs range from the initial binding of viral coat proteins to host membrane …
RKNNMDA: ranking-based KNN for MiRNA-disease association prediction
X Chen, QF Wu, GY Yan - RNA biology, 2017 - Taylor & Francis
Cumulative verified experimental studies have demonstrated that microRNAs (miRNAs)
could be closely related with the development and progression of human complex diseases …
could be closely related with the development and progression of human complex diseases …
Prediction of protein–protein interaction using graph neural networks
Proteins are the essential biological macromolecules required to perform nearly all
biological processes, and cellular functions. Proteins rarely carry out their tasks in isolation …
biological processes, and cellular functions. Proteins rarely carry out their tasks in isolation …