Graph representation learning in bioinformatics: trends, methods and applications
Graph is a natural data structure for describing complex systems, which contains a set of
objects and relationships. Ubiquitous real-life biomedical problems can be modeled as …
objects and relationships. Ubiquitous real-life biomedical problems can be modeled as …
Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities
New technologies have enabled the investigation of biology and human health at an
unprecedented scale and in multiple dimensions. These dimensions include a myriad of …
unprecedented scale and in multiple dimensions. These dimensions include a myriad of …
Predicting miRNA–disease association based on inductive matrix completion
X Chen, L Wang, J Qu, NN Guan, JQ Li - Bioinformatics, 2018 - academic.oup.com
Motivation It has been shown that microRNAs (miRNAs) play key roles in variety of
biological processes associated with human diseases. In Consideration of the cost and …
biological processes associated with human diseases. In Consideration of the cost and …
Random walks: A review of algorithms and applications
A random walk is known as a random process which describes a path including a
succession of random steps in the mathematical space. It has increasingly been popular in …
succession of random steps in the mathematical space. It has increasingly been popular in …
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 …
in a strong need of integrative machine learning models for better use of vast volumes of …
Updated review of advances in microRNAs and complex diseases: experimental results, databases, webservers and data fusion
MicroRNAs (miRNAs) are gene regulators involved in the pathogenesis of complex
diseases such as cancers, and thus serve as potential diagnostic markers and therapeutic …
diseases such as cancers, and thus serve as potential diagnostic markers and therapeutic …
Application of machine learning in microbiology
Microorganisms are ubiquitous and closely related to people's daily lives. Since they were
first discovered in the 19th century, researchers have shown great interest in …
first discovered in the 19th century, researchers have shown great interest in …
M6APred-EL: a sequence-based predictor for identifying N6-methyladenosine sites using ensemble learning
L Wei, H Chen, R Su - Molecular Therapy-Nucleic Acids, 2018 - cell.com
N6-methyladenosine (m 6 A) modification is the most abundant RNA methylation
modification and involves various biological processes, such as RNA splicing and …
modification and involves various biological processes, such as RNA splicing and …
iCircDA-MF: identification of circRNA-disease associations based on matrix factorization
H Wei, B Liu - Briefings in bioinformatics, 2020 - academic.oup.com
Circular RNAs (circRNAs) are a group of novel discovered non-coding RNAs with closed-
loop structure, which play critical roles in various biological processes. Identifying …
loop structure, which play critical roles in various biological processes. Identifying …
Hierarchical graph attention network for miRNA-disease association prediction
Many biological studies show that the mutation and abnormal expression of microRNAs
(miRNAs) could cause a variety of diseases. As an important biomarker for disease …
(miRNAs) could cause a variety of diseases. As an important biomarker for disease …