User profiles for Xiujuan Lei
Xiujuan LeiSchool of Computer Science, Shaanxi Normal University Verified email at snnu.edu.cn Cited by 5506 |
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 …
A dual graph neural network for drug–drug interactions prediction based on molecular structure and interactions
M Ma, X Lei - PLOS Computational Biology, 2023 - journals.plos.org
Expressive molecular representation plays critical roles in researching drug design, while
effective methods are beneficial to learning molecular representations and solving related …
effective methods are beneficial to learning molecular representations and solving related …
CircR2Disease v2. 0: an updated web server for experimentally validated circRNA–disease associations and its application
With accumulating dysregulated circular RNAs (circRNAs) in pathological processes, the
regulatory functions of circRNAs, especially circRNAs as microRNA (miRNA) sponges and their …
regulatory functions of circRNAs, especially circRNAs as microRNA (miRNA) sponges and their …
Solving non-convex/non-smooth economic load dispatch problems via an enhanced particle swarm optimization
Economic load dispatch (ELD) problems have been an important issue in optimal operation
and planning of power system. Characterized by non-convex/non-smooth properties and …
and planning of power system. Characterized by non-convex/non-smooth properties and …
A comprehensive survey on computational methods of non-coding RNA and disease association prediction
The studies on relationships between non-coding RNAs and diseases are widely carried
out in recent years. A large number of experimental methods and technologies of producing …
out in recent years. A large number of experimental methods and technologies of producing …
[HTML][HTML] 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 biological …
diseases. It is time-consuming and costly to identify circRNA-disease associations by biological …
Prediction of CircRNA-disease associations using KATZ model based on heterogeneous networks
Circular RNAs (circRNAs) are a large group of endogenous non-coding RNAs which are key
members of gene regulatory processes. Those circRNAs in human paly significant roles in …
members of gene regulatory processes. Those circRNAs in human paly significant roles in …
[HTML][HTML] Deep integrated fusion of local and global features for cervical cell classification
Cervical cytology image classification is of great significance to the cervical cancer diagnosis
and prognosis. Recently, convolutional neural network (CNN) and visual transformer have …
and prognosis. Recently, convolutional neural network (CNN) and visual transformer have …
Identification of dynamic protein complexes based on fruit fly optimization algorithm
Protein complexes play a significant role in understanding cellular life in postgenomic era.
Yet up to now, the existing protein complex detection algorithms are mostly applied to static …
Yet up to now, the existing protein complex detection algorithms are mostly applied to static …
Protein complex identification through Markov clustering with firefly algorithm on dynamic protein–protein interaction networks
Markov clustering (MCL) is a commonly used algorithm for clustering networks in bioinformatics.
It shows good performance in clustering dynamic protein–protein interaction networks (…
It shows good performance in clustering dynamic protein–protein interaction networks (…