A review on machine learning principles for multi-view biological data integration
Driven by high-throughput sequencing techniques, modern genomic and clinical studies
are in a strong need of integrative machine learning models for better use of vast volumes of …
are in a strong need of integrative machine learning models for better use of vast volumes of …
CytoNCA: a cytoscape plugin for centrality analysis and evaluation of protein interaction networks
Background and scope Nowadays, centrality analysis has become a principal method for
identifying essential proteins in biological networks. Here we present CytoNCA, a Cytoscape …
identifying essential proteins in biological networks. Here we present CytoNCA, a Cytoscape …
Drug repositioning based on comprehensive similarity measures and bi-random walk algorithm
Motivation: Drug repositioning, which aims to identify new indications for existing drugs, offers
a promising alternative to reduce the total time and cost of traditional drug development. …
a promising alternative to reduce the total time and cost of traditional drug development. …
A survey on U-shaped networks in medical image segmentations
The U-shaped network is one of the end-to-end convolutional neural networks (CNNs). In
electron microscope segmentation of ISBI challenge 2012, the concise architecture and …
electron microscope segmentation of ISBI challenge 2012, the concise architecture and …
Prediction of lncRNA–disease associations based on inductive matrix completion
Motivation Accumulating evidences indicate that long non-coding RNAs (lncRNAs) play
pivotal roles in various biological processes. Mutations and dysregulations of lncRNAs are …
pivotal roles in various biological processes. Mutations and dysregulations of lncRNAs are …
Recurrent neural network for non-smooth convex optimization problems with application to the identification of genetic regulatory networks
A recurrent neural network is proposed for solving the non-smooth convex optimization
problem with the convex inequality and linear equality constraints. Since the objective function …
problem with the convex inequality and linear equality constraints. Since the objective function …
CircR2Disease: a manually curated database for experimentally supported circular RNAs associated with various diseases
CircR2Disease is a manually curated database, which provides a comprehensive resource
for circRNA deregulation in various diseases. Increasing evidences have shown that …
for circRNA deregulation in various diseases. Increasing evidences have shown that …
Protein–protein interaction site prediction through combining local and global features with deep neural networks
Motivation Protein–protein interactions (PPIs) play important roles in many biological
processes. Conventional biological experiments for identifying PPI sites are costly and time-…
processes. Conventional biological experiments for identifying PPI sites are costly and time-…
LDAP: a web server for lncRNA-disease association prediction
Motivation Increasing evidences have demonstrated that long noncoding RNAs (lncRNAs)
play important roles in many human diseases. Therefore, predicting novel lncRNA-disease …
play important roles in many human diseases. Therefore, predicting novel lncRNA-disease …
Classification of Alzheimer's disease using whole brain hierarchical network
Regions of interest (ROIs) based classification has been widely investigated for analysis of
brain magnetic resonance imaging (MRI) images to assist the diagnosis of Alzheimer's …
brain magnetic resonance imaging (MRI) images to assist the diagnosis of Alzheimer's …