Results 31 to 40 of about 1,906,656 (324)

RWHMDA: Random Walk on Hypergraph for Microbe-Disease Association Prediction

open access: yesFrontiers in Microbiology, 2019
Based on advancements in deep sequencing technology and microbiology, increasing evidence indicates that microbes inhabiting humans modulate various host physiological phenomena, thus participating in various disease pathogeneses.
Ya-Wei Niu   +5 more
doaj   +1 more source

IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier

open access: yesBMC Bioinformatics, 2021
Identifying lncRNA-disease associations not only helps to better comprehend the underlying mechanisms of various human diseases at the lncRNA level but also speeds up the identification of potential biomarkers for disease diagnoses, treatments, prognoses,
Rong Zhu   +3 more
semanticscholar   +1 more source

Identifying Potential miRNAs–Disease Associations With Probability Matrix Factorization

open access: yesFrontiers in Genetics, 2019
In recent years, miRNAs have been verified to play an irreplaceable role in biological processes associated with human disease. Discovering potential disease-related miRNAs helps explain the underlying pathogenesis of the disease at the molecular level ...
Junlin Xu   +8 more
doaj   +1 more source

Combined search for the standard model Higgs boson decaying to b bbar using the D0 Run II data set [PDF]

open access: yes, 2012
We present the results of the combination of searches for the standard model Higgs boson produced in association with a W or Z boson and decaying into b bbar using the data sample collected with the D0 detector in p pbar collisions at sqrt{s}=1.96 TeV at
Bertram, Iain   +6 more
core   +1 more source

A new integrated framework for the identification of potential virus–drug associations

open access: yesFrontiers in Microbiology, 2023
IntroductionWith the increasingly serious problem of antiviral drug resistance, drug repurposing offers a time-efficient and cost-effective way to find potential therapeutic agents for disease.
Jia Qu   +4 more
doaj   +1 more source

Multi-Similarities Bilinear Matrix Factorization-Based Method for Predicting Human Microbe–Disease Associations

open access: yesFrontiers in Genetics, 2021
Accumulating studies have shown that microbes are closely related to human diseases. In this paper, a novel method called MSBMFHMDA was designed to predict potential microbe–disease associations by adopting multi-similarities bilinear matrix ...
Xiaoyu Yang   +5 more
doaj   +1 more source

Rheumatoid Arthritis Naive T Cells Share Hypermethylation Sites With Synoviocytes. [PDF]

open access: yes, 2017
ObjectiveTo determine whether differentially methylated CpGs in synovium-derived fibroblast-like synoviocytes (FLS) of patients with rheumatoid arthritis (RA) were also differentially methylated in RA peripheral blood (PB) samples.MethodsFor this study ...
Barcellos, Lisa F   +16 more
core   +1 more source

Prediction of protein-protein interaction types using association rule based classification [PDF]

open access: yes, 2009
This article has been made available through the Brunel Open Access Publishing Fund - Copyright @ 2009 Park et alBackground: Protein-protein interactions (PPI) can be classified according to their characteristics into, for example obligate or transient ...
Gilbert, D   +4 more
core   +3 more sources

Human Microbe-Disease Association Prediction With Graph Regularized Non-Negative Matrix Factorization

open access: yesFrontiers in Microbiology, 2018
A microbe is a microscopic organism which may exists in its single-celled form or in a colony of cells. In recent years, accumulating researchers have been engaged in the field of uncovering microbe-disease associations since microbes are found to be ...
Bin-Sheng He   +3 more
doaj   +1 more source

Metabolite-disease interaction prediction based on logistic matrix factorization and local neighborhood constraints

open access: yesFrontiers in Psychiatry, 2023
BackgroundIncreasing evidence indicates that metabolites are closely related to human diseases. Identifying disease-related metabolites is especially important for the diagnosis and treatment of disease.
Yongbiao Zhao   +3 more
doaj   +1 more source

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