Results 41 to 50 of about 1,906,656 (324)

TLHNMDA: Triple Layer Heterogeneous Network Based Inference for MiRNA-Disease Association Prediction

Frontiers in Genetics, 2018
In recent years, microRNAs (miRNAs) have been confirmed to be involved in many important biological processes and associated with various kinds of human complex diseases.
Xing Chen, Jia Qu, Jun Yin
doaj   +1 more source

miGAP: miRNA–Gene Association Prediction Method Based on Deep Learning Model

Applied Sciences, 2023
MicroRNAs (miRNAs) are small RNA molecules consisting of approximately 22 nucleotides; they regulate gene expression and are employed in the development of therapeutics for intractable diseases.
Seungwon Yoon, Inwoo Hwang, Jaeeun Cho, Hyewon Yoon, Kyuchul Lee   +4 more
doaj   +1 more source

GRMDA: Graph Regression for MiRNA-Disease Association Prediction

Frontiers in Physiology, 2018
Nowadays, as more and more associations between microRNAs (miRNAs) and diseases have been discovered, miRNA has gradually become a hot topic in the biological field. Because of the high consumption of time and money on carrying out biological experiments,
Xing Chen, Jing-Ru Yang, Na-Na Guan, Jian-Qiang Li   +3 more
doaj   +1 more source

SGAEMDA: Predicting miRNA-Disease Associations Based on Stacked Graph Autoencoder

Cells, 2022
MicroRNA (miRNA)-disease association (MDA) prediction is critical for disease prevention, diagnosis, and treatment. Traditional MDA wet experiments, on the other hand, are inefficient and costly.Therefore, we proposed a multi-layer collaborative ...
Shudong Wang, Boyang Lin, Yuanyuan Zhang, Sibo Qiao, Fuyu Wang, Wenhao Wu, Chuanru Ren   +6 more
doaj   +1 more source

Soft gluon resummation for associated $t \bar{t} H$ production at the LHC [PDF]

, 2015
We perform resummation of soft gluon corrections to the total cross section for the process $pp \to t\bar{t}H$. The resummation is carried out at next-to-leading-logarithmic (NLL) accuracy using the Mellin space technique, extending its application to ...
Kulesza, Anna, Motyka, Leszek, Stebel, Tomasz, Theeuwes, Vincent   +3 more
core   +3 more sources

A novel microbe-drug association prediction model based on graph attention networks and bilayer random forest

BMC Bioinformatics
Background In recent years, the extensive use of drugs and antibiotics has led to increasing microbial resistance. Therefore, it becomes crucial to explore deep connections between drugs and microbes.
Haiyue Kuang, Zhen Zhang, Bin Zeng, Xin Liu, Hao Zuo, Xingye Xu, Lei Wang   +6 more
semanticscholar   +1 more source

Inferring Disease-Associated Microbes Based on Multi-Data Integration and Network Consistency Projection

Frontiers in Bioengineering and Biotechnology, 2020
Plenty of microbes in our human body play a vital role in the process of cell physiology. In recent years, there is accumulating evidence indicating that microbes are closely related to many complex human diseases.
Yongxian Fan, Meijun Chen, Qingqi Zhu, Wanru Wang   +3 more
doaj   +1 more source

My road in search of elastoplastic soil mechanics

Soils and Foundations, 2023
This paper is a record of the author’s 43 years of research, starting in the early 1980s. The state of research in the 1980s is described in Chapter 2, but it was the bitterness of the author’s first encounters with work like this that providentially ...
Akira Asaoka
doaj   +1 more source

Early symptoms and sensations as predictors of lung cancer: a machine learning multivariate model. [PDF]

, 2019
The aim of this study was to identify a combination of early predictive symptoms/sensations attributable to primary lung cancer (LC). An interactive e-questionnaire comprised of pre-diagnostic descriptors of first symptoms/sensations was administered to ...
Bernhardson, B-M., Eriksson, L. E., Forshed, J., Henriksson, R., Kölbeck, K., Lehtiö, J., Levitsky, A., Olin, M., Pernemalm, M., Tishelman, C.   +9 more
core   +1 more source

A novel miRNA-disease association prediction model using dual random walk with restart and space projection federated method

PLoS ONE, 2021
A large number of studies have shown that the variation and disorder of miRNAs are important causes of diseases. The recognition of disease-related miRNAs has become an important topic in the field of biological research.
Ang Li, Yingwei Deng, Yan Tan, Min Chen
semanticscholar   +1 more source