Disease association of human tumor suppressor genes
Sign Up to like & getrecommendations! Published in 2019 at "Molecular Genetics and Genomics"
DOI: 10.1007/s00438-019-01557-9
Abstract: The multifactorial disease, cancer, frequently emerges due to perturbations in tumor suppressor genes (TSGs). However, a growing number of noncanonical target genes of TSGs and the highly interconnected nature of the human interactome reveal that… read more here.
Keywords: tumor suppressor; disease; disease association; cancer ... See more keywords
MiRNA-disease association prediction based on meta-paths
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbab571
Abstract: Since miRNAs can participate in the posttranscriptional regulation of gene expression, they may provide ideas for the development of new drugs or become new biomarkers for drug targets or disease diagnosis. In this work, we… read more here.
Keywords: meta paths; association prediction; based meta; disease association ... See more keywords
Research progress of miRNA-disease association prediction and comparison of related algorithms
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac066
Abstract: With an in-depth understanding of noncoding ribonucleic acid (RNA), many studies have shown that microRNA (miRNA) plays an important role in human diseases. Because traditional biological experiments are time-consuming and laborious, new calculation methods have… read more here.
Keywords: disease; disease association; mirna disease; association prediction ... See more keywords
iGRLCDA: identifying circRNA-disease association based on graph representation learning
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac083
Abstract: While the technologies of ribonucleic acid-sequence (RNA-seq) and transcript assembly analysis have continued to improve, a novel topology of RNA transcript was uncovered in the last decade and is called circular RNA (circRNA). Recently, researchers… read more here.
Keywords: circrna disease; disease; disease association; identifying circrna ... See more keywords
idenMD-NRF: a ranking framework for miRNA-disease association identification
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac224
Abstract: Identifying miRNA-disease associations is an important task for revealing pathogenic mechanism of complicated diseases. Different computational methods have been proposed. Although these methods obtained encouraging performance for detecting missing associations between known miRNAs and diseases,… read more here.
Keywords: association identification; disease association; mirna disease; idenmd nrf ... See more keywords
A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac388
Abstract: Circular RNAs (circRNAs) are involved in the regulatory mechanisms of multiple complex diseases, and the identification of their associations is critical to the diagnosis and treatment of diseases. In recent years, many computational methods have… read more here.
Keywords: circrna disease; disease; disease association; association prediction ... See more keywords
A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2021.3067338
Abstract: MicroRNAs (miRNAs) are a class of non-coding RNAs that play critical role in many biological processes, such as cell growth, development, differentiation and aging. Increasing studies have revealed that miRNAs are closely involved in many… read more here.
Keywords: mirna disease; disease association; association prediction; method ... See more keywords
Potential circRNA-Disease Association Prediction Using DeepWalk and Nonnegative Matrix Factorization.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2023.3264466
Abstract: Circular RNAs (circRNAs) are a category of noncoding RNAs that exist in great numbers in eukaryotes. They have recently been discovered to be crucial in the growth of tumors. Therefore, it is important to explore… read more here.
Keywords: circrna disease; disease; disease association; nonnegative matrix ... See more keywords
The association between intensified medical treatment, time to surgery and ileocolic specimen length in Crohn's disease
Sign Up to like & getrecommendations! Published in 2017 at "Colorectal Disease"
DOI: 10.1111/codi.13567
Abstract: During the last decade, treatment protocols have changed for patients with ileocolic Crohn's disease. Anti‐tumour necrosis factor (anti‐TNF) has become part of standard medical treatment, usually in a step‐up approach. The aim was to analyse… read more here.
Keywords: surgery; medical treatment; treatment; disease association ... See more keywords
The Association of Coloproctology of Great Britain and Ireland consensus guidelines in surgery for inflammatory bowel disease
Sign Up to like & getrecommendations! Published in 2018 at "Colorectal Disease"
DOI: 10.1111/codi.14448
Abstract: There is a requirement of an expansive and up to date review of surgical management of inflammatory bowel disease (IBD) that can dovetail with the medical guidelines produced by the British Society of Gastroenterology. read more here.
Keywords: inflammatory bowel; bowel disease; disease association; disease ... See more keywords
Effect-Size Estimation Using Semiparametric Hierarchical Mixture Models in Disease-Association Studies with Neuroimaging Data
Sign Up to like & getrecommendations! Published in 2020 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2020/7482403
Abstract: In disease-association studies using neuroimaging data, evaluating the biological or clinical significance of individual associations requires not only detection of disease-associated areas of the brain but also estimation of the magnitudes of the associations or… read more here.
Keywords: estimation; effect size; effect; disease association ... See more keywords