Results 31 to 40 of about 1,960,778 (332)
Risk prediction for dermatomyositis-associated hepatocellular carcinoma
BMC Bioinformatics, 2023 Abstract Objective To explore dermatomyositis signature genes as potential biomarkers of hepatocellular carcinoma and their associated molecular regulatory mechanisms. Methods Based on the mRNA-Seq data of ...
Xusheng Zhang +6 more
openaire +3 more sources
Drug–disease association prediction with literature based multi-feature fusion
Frontiers in Pharmacology, 2023 Introduction: Exploring the potential efficacy of a drug is a valid approach for drug development with shorter development times and lower costs. Recently, several computational drug repositioning methods have been introduced to learn multi-features for ...
Hongyu Kang +6 more
doaj +1 more source
Frontiers in Genetics, 2019 A key aim of post-genomic biomedical research is to systematically understand and model complex biomolecular activities based on a systematic perspective.
Hai-Cheng Yi +3 more
doaj +1 more source
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 +3 more
doaj +1 more source
Frontiers in Molecular Biosciences, 2022 The accurate prediction of potential associations between microRNAs (miRNAs) and small molecule (SM) drugs can enhance our knowledge of how SM cures endogenous miRNA-related diseases.
Jie Ni +3 more
doaj +1 more source
IDLDA: An Improved Diffusion Model for Predicting LncRNA–Disease Associations
Frontiers in Genetics, 2019 It has been demonstrated that long non-coding RNAs (lncRNAs) play important roles in a variety of biological processes associated with human diseases. However, the identification of lncRNA–disease associations by experimental methods is time-consuming ...
Qi Wang +3 more
doaj +1 more source
Prediction of Metabolic Pathways Involvement in Prokaryotic UniProtKB Data by Association Rule Mining [PDF]
, 2016 The widening gap between known proteins and their functions has encouraged the development of methods to automatically infer annotations. Automatic functional annotation of proteins is expected to meet the conflicting requirements of maximizing ...
Boudellioua, Imane +4 more
core +3 more sources
Associative Relationships in Human Predictive Learning
The Spanish Journal of Psychology, 2013 AbstractTwo experiments were conducted to explore the associations involved in human predictive learning. Experiment 1 found that post-training devaluation of one of the outcomes by instructing participants that one of the attackers was indestructible, led to a significant decrease in participants’ predictive responses to the cue that was initially ...
Gámez, A. Matías +3 more
openaire +4 more sources
Functional association prediction by community profiling [PDF]
Methods, 2017 Recent years have witnessed unprecedented accumulation of DNA sequences and therefore protein sequences (predicted from DNA sequences), due to the advances of sequencing technology. One of the major sources of the hypothetical proteins is the metagenomics research.
Dazhi, Jiao, Wontack, Han, Yuzhen, Ye
openaire +2 more sources
Rheumatoid Arthritis Naive T Cells Share Hypermethylation Sites With Synoviocytes. [PDF]
, 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